1,549 AI Expert jobs in India
AI Expert - AI Agentic
140055 Punjab, Punjab
₹7 - ₹12 annum
RChilli
Posted 29 days ago
Job Viewed
Job Description
Location: Mohali, PB
Job Type: Full-Time
Exp: Minimum of 2 years of experience in advanced AI development.
Shift Timings: 12-10pm IST
About RChilli
RChilli is a leader in AI-driven HR technology, powering next-generation recruitment solutions globally. We thrive on innovation, agility, and a mission to revolutionize the way HR teams work with intelligent automation. As we expand our capabilities in Agentic AI, we are looking for a passionate technologist to lead and drive this initiative.
Position Summary
We are urgently seeking a hands-on, visionary professional to lead the development and deployment of Agentic AI systems . This role is central to our next phase of AI innovation and requires deep technical acumen in building autonomous AI agents integrated with leading cloud platforms.
Key Responsibilities
-
Design and Architect Agentic AI solutions aligned with business goals.
-
Lead the End-to-End Development of AI agents, from ideation through production deployment.
-
Integrate multi-agent systems across cloud environments including AWS, Google Cloud, and Azure .
-
Ensure scalable, secure, and reliable deployments of AI systems.
-
Collaborate with Product, Engineering, and DevOps teams to maintain high availability and performance of AI solutions.
-
Stay ahead of AI trends to introduce cutting-edge innovations into the product lifecycle.
Technical Requirements
-
Proven track record in designing and deploying Agentic AI systems .
-
Proficiency with cloud-native agent development platforms:
-
AWS Bedrock
-
Google Vertex AI Agent Builder
-
Azure AI Studio & Azure AI Agent Service
-
-
Deep understanding of cloud architecture , APIs, serverless frameworks, and deployment strategies.
-
Familiarity with LLMs, prompt engineering, and orchestrating autonomous agents for complex tasks.
-
Strong programming background (e.g., Python, Node.js) and experience with model fine-tuning and orchestration tools.
-
Hands-on experience releasing or integrating AI agents on marketplaces such as the OpenAI GPTs Store, Hugging Face Hub, or cloud marketplaces (e.g., AWS, Azure), including knowledge of submission workflows, publishing standards, and discoverability optimization. (Experience with at least one marketplace is required.)
Nice to Have
-
Experience with tools such as LangChain, AutoGen, CrewAI, or similar agent frameworks.
-
Background in MLOps and CI/CD for AI systems.
-
Contributions to open-source AI agent frameworks.
What We Offer
-
A chance to lead a frontier role in cutting-edge AI development.
-
Work with a global team of innovators .
-
Flexible remote working environment .( Global Canididates)
-
Competitive compensation aligned with market standards.
This advertiser has chosen not to accept applicants from your region.
0
AI Expert For Agentic AI
140055 Punjab, Punjab
₹8 - ₹12 annum
RChilli
Posted 107 days ago
Job Viewed
Job Description
Location: Remote (Open to Global Candidates)
Job Type: Full-Time
Exp: Minimum of 2 years of experience in advanced AI development.
About RChilli
RChilli is a leader in AI-driven HR technology, powering next-generation recruitment solutions globally. We thrive on innovation, agility, and a mission to revolutionize the way HR teams work with intelligent automation. As we expand our capabilities in Agentic AI, we are looking for a passionate technologist to lead and drive this initiative.
Position Summary
We are urgently seeking a hands-on, visionary professional to lead the development and deployment of Agentic AI systems . This role is central to our next phase of AI innovation and requires deep technical acumen in building autonomous AI agents integrated with leading cloud platforms.
Key Responsibilities
-
Design and Architect Agentic AI solutions aligned with business goals.
-
Lead the End-to-End Development of AI agents, from ideation through production deployment.
-
Integrate multi-agent systems across cloud environments including AWS, Google Cloud, and Azure .
-
Ensure scalable, secure, and reliable deployments of AI systems.
-
Collaborate with Product, Engineering, and DevOps teams to maintain high availability and performance of AI solutions.
-
Stay ahead of AI trends to introduce cutting-edge innovations into the product lifecycle.
Technical Requirements
-
Proven track record in designing and deploying Agentic AI systems .
-
Proficiency with cloud-native agent development platforms:
-
AWS Bedrock
-
Google Vertex AI Agent Builder
-
Azure AI Studio & Azure AI Agent Service
-
-
Deep understanding of cloud architecture , APIs, serverless frameworks, and deployment strategies.
-
Familiarity with LLMs, prompt engineering, and orchestrating autonomous agents for complex tasks.
-
Strong programming background (e.g., Python, Node.js) and experience with model fine-tuning and orchestration tools.
Nice to Have
-
Experience with tools such as LangChain, AutoGen, CrewAI, or similar agent frameworks.
-
Background in MLOps and CI/CD for AI systems.
-
Contributions to open-source AI agent frameworks.
What We Offer
-
A chance to lead a frontier role in cutting-edge AI development.
-
Work with a global team of innovators .
-
Flexible remote working environment .
-
Competitive compensation aligned with market standards.
This advertiser has chosen not to accept applicants from your region.
1
Innovation & Conversational AI Expert
Hyderabad, Andhra Pradesh
Sanofi Group
Posted today
Job Viewed
Job Description
**About the job**
We are seeking an experienced Technical Leader to spearhead our conversational AI / emerging technology initiatives and drive the strategic evolution of our conversational AI capabilities.
This role combines hands-on technical leadership with strategic planning, requiring someone who can architect robust solutions while mentoring development teams.
The successful candidate will serve as the primary technical authority for our chatbot / innovation ecosystem, ensuring platform scalability, reliability, and continuous innovation.
You will work closely with cross-functional teams to translate business requirements into technical solutions and drive the adoption of our platform.
He will also drive continuous innovation across multiple technologies including IBM Watson, GenAI, and LLMs.
+ **Main Responsibilities:**
+ Serve as Technical Lead for the Chatbot platforms, driving architecture decisions and technical strategy
+ Lead and oversee platform evolutions and improvements for conversational AI systems
+ Manage of innovative proof-of-concepts and prototypes, using emerging technologies including GenAI and LLMs
+ Provide technical mentorship and coaching to developers
+ Act as the escalation point for L2/L3 support teams on complex technical issues
+ Support technical incubation and team upskilling for transition from POC to project
+ Evaluate new technologies and frameworks to determine their potential business value
+ Participate actively in business case creation and technical feasibility assessment
+ **Experience / Knowledge**
+ 8+ years of software development experience with at least 3 years in a technical leadership role
+ Proven track record in AI/Chatbot development (IBM Watson expertise)
+ Experience with NLP concepts, machine learning techniques, and conversation design principles
+ Strong expertise in multiple programming languages, particularly Python and JavaScript
+ Frontend experience with frameworks like Vue.js and React.js
+ Backend experience with Node.js and cloud platforms (IBM Cloud, AWS, Azure)
+ Integration expertise (REST API, OData, SOAP protocols, SQL and database management)
+ Experience with enterprise systems integration (ServiceNow, Concur, Workday, COUPA) is a plus
+ Experience with AI & ML, LLM, GenAI technologies and applications
+ Experience with data consolidation and cleaning
+ Project management capabilities
+ Professional English proficiency (both written and verbal)
+ **Skills**
+ Excellent communication and leadership abilities
+ Ability to bridge technical and business requirements
+ Strong problem-solving and analytical skills
+ Innovation mindset with practical implementation focus
+ **Qualification**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence or related field
+ IBM Watson & Cloud Certifications are a plus
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
We are seeking an experienced Technical Leader to spearhead our conversational AI / emerging technology initiatives and drive the strategic evolution of our conversational AI capabilities.
This role combines hands-on technical leadership with strategic planning, requiring someone who can architect robust solutions while mentoring development teams.
The successful candidate will serve as the primary technical authority for our chatbot / innovation ecosystem, ensuring platform scalability, reliability, and continuous innovation.
You will work closely with cross-functional teams to translate business requirements into technical solutions and drive the adoption of our platform.
He will also drive continuous innovation across multiple technologies including IBM Watson, GenAI, and LLMs.
+ **Main Responsibilities:**
+ Serve as Technical Lead for the Chatbot platforms, driving architecture decisions and technical strategy
+ Lead and oversee platform evolutions and improvements for conversational AI systems
+ Manage of innovative proof-of-concepts and prototypes, using emerging technologies including GenAI and LLMs
+ Provide technical mentorship and coaching to developers
+ Act as the escalation point for L2/L3 support teams on complex technical issues
+ Support technical incubation and team upskilling for transition from POC to project
+ Evaluate new technologies and frameworks to determine their potential business value
+ Participate actively in business case creation and technical feasibility assessment
+ **Experience / Knowledge**
+ 8+ years of software development experience with at least 3 years in a technical leadership role
+ Proven track record in AI/Chatbot development (IBM Watson expertise)
+ Experience with NLP concepts, machine learning techniques, and conversation design principles
+ Strong expertise in multiple programming languages, particularly Python and JavaScript
+ Frontend experience with frameworks like Vue.js and React.js
+ Backend experience with Node.js and cloud platforms (IBM Cloud, AWS, Azure)
+ Integration expertise (REST API, OData, SOAP protocols, SQL and database management)
+ Experience with enterprise systems integration (ServiceNow, Concur, Workday, COUPA) is a plus
+ Experience with AI & ML, LLM, GenAI technologies and applications
+ Experience with data consolidation and cleaning
+ Project management capabilities
+ Professional English proficiency (both written and verbal)
+ **Skills**
+ Excellent communication and leadership abilities
+ Ability to bridge technical and business requirements
+ Strong problem-solving and analytical skills
+ Innovation mindset with practical implementation focus
+ **Qualification**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence or related field
+ IBM Watson & Cloud Certifications are a plus
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
This advertiser has chosen not to accept applicants from your region.
2
AI Agentic Developer / AI Expert
Chandigarh, Chandigarh
CybeReconN
Posted 3 days ago
Job Viewed
Job Description
Company Description
CybeReconN aims to develop next-generation foundational large language models that promise to redefine the industry. We are at the forefront of AI innovation, focusing on creating sophisticated and cutting-edge technologies that drive advancements in various sectors. Join us in our mission to revolutionize the AI landscape and make impactful contributions to the field.
Role Description
This is a full-time on-site role based in Chandigarh for an AI Agentic Developer / AI Expert. The role involves developing, testing, and implementing advanced AI models, particularly in the areas of neural networks and natural language processing. Day-to-day tasks include pattern recognition, software development, and collaborating with cross-functional teams to deliver innovative AI solutions.
Qualifications
- Strong background in Pattern Recognition and Computer Science
- Proficiency in Neural Networks and Natural Language Processing (NLP)
- Experience in Software Development
- Bachelor's or Master's degree in Computer Science, AI, or related field
- Ability to work collaboratively in an on-site team environment
- Excellent problem-solving skills and analytical thinking
- Experience in developing large-scale AI models is a plus
What You’ll Do:
- Design, develop, and deploy AI agents capable of autonomous decision-making, tool use, and multi-step reasoning.
- Architect and optimize agentic workflows using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, or custom solutions.
- Integrate LLMs with external APIs, databases, and real-time data sources to enable dynamic, context-aware behavior.
- Collaborate with product, research, and engineering teams to bring agentic AI from prototype to production.
- Stay ahead of the curve on emerging trends in agentic AI, multi-agent systems, and AI safety/alignment.
Who You Are:
- Deep expertise in AI/ML, particularly in LLMs, agentic systems, and prompt engineering.
- Strong software engineering skills (Python preferred; experience with FastAPI, Docker, cloud platforms a plus).
- Hands-on experience building and deploying autonomous agents or multi-agent systems.
- Familiarity with vector databases, RAG, fine-tuning, and evaluation frameworks.
- A problem-solver with a hacker mindset—and a passion for ethical, reliable AI.
Bonus Points If You Have:
- Published research or open-source contributions in agentic AI.
- Experience with reinforcement learning, symbolic AI, or neuro-symbolic systems.
- Background in robotics, cognitive architectures, or human-AI collaboration.
This advertiser has chosen not to accept applicants from your region.
3
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
4
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
5
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
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6
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
8
AI Content Expert
Hyderabad, Andhra Pradesh
Amazon
Posted today
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast
Preferred Qualifications
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.
- Comfortable with high
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
9