1229 Programming Languages jobs in Bengaluru

We are looking for Computer Science resources with experience or knowledge about LLM (Large Language Model) context leading to evaluating, improving, or creating content related to science, technology, engineering, and mathematics within the LLM. This could involve tasks like ensuring the accuracy of LLM outputs in STEM fields, designing prompts for research scenarios, or developing datasets for training and evaluation. The role may also involve collaboration with technical teams to enhance the LLM's capabilities in these areas.

Responsibilities

• Assessing the accuracy, depth, and logical coherence of the LLM's responses in STEM-related areas OR Designing and executing tests using prompts to probe the LLM's capabilities and identify areas for improvement.
• Review and edit language content for related to CS (Computer Science) Science, Technology, Engineering or Mathematics (STEM).
• Collaborate with content creators, annotators, and other stakeholders to ensure consistency and quality across all communications.
• Assessing the quality of LLM outputs, identifying errors or inconsistencies, and providing detailed feedback.
• Keeping abreast of current trends and research in STEM fields to ensure the LLM remains relevant and accurate.
• Provide cultural insights to ensure content resonates with target audiences.
• Required Hours: 25-30 hours per week
• Project Start Date: after completing Versant Test
• Required Test: Versant for English language
• Eligibility: Only C1 & C2 scorers will be considered
• Required: Versant to give Today (1 Hour test)
• Mandatory: Kindly apply to this post urgently to get the Versant assigned.

Qualifications

• Bachelor's or Master's or PhD degree in Computer Science (CS), STEM field or related area (e.g., science, technology, engineering, mathematics, or education).
• Native or near-native proficiency in English.
• Understanding of the AI related technologies and LLMs (Large Language Models).
• Strong attention to detail and commitment to linguistic accuracy.
• Ability to work collaboratively in a fast-paced environment.
• Tier 1 & Tier 2 college Students or Pass outs are preferred.

Skills

• Strong foundation in research methodology and subject matter expertise in a STEM field (e.g., mathematics, science, engineering).
• Experience with technical writing, academic research, or content creation.
• Excellent analytical and critical thinking skills.
• Ability to evaluate scientific reasoning and technical writing.
• Strong written communication skills.
• Experience with prompt engineering and LLM evaluation.
• Familiarity with research trends and open questions in the relevant STEM field.
• Ability to work independently, asynchronously, and remotely.

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We are looking for Computer Science resources with experience or knowledge about LLM (Large Language Model) context leading to evaluating, improving, or creating content related to science, technology, engineering, and mathematics within the LLM. This could involve tasks like ensuring the accuracy of LLM outputs in STEM fields, designing prompts for research scenarios, or developing datasets for training and evaluation. The role may also involve collaboration with technical teams to enhance the LLM's capabilities in these areas.

Responsibilities

• Assessing the accuracy, depth, and logical coherence of the LLM's responses in STEM-related areas OR Designing and executing tests using prompts to probe the LLM's capabilities and identify areas for improvement.
• Review and edit language content for related to CS (Computer Science) Science, Technology, Engineering or Mathematics (STEM).
• Collaborate with content creators, annotators, and other stakeholders to ensure consistency and quality across all communications.
• Assessing the quality of LLM outputs, identifying errors or inconsistencies, and providing detailed feedback.
• Keeping abreast of current trends and research in STEM fields to ensure the LLM remains relevant and accurate.
• Provide cultural insights to ensure content resonates with target audiences.
• Required Hours: 25-30 hours per week
• Project Start Date: after completing Versant Test
• Required Test: Versant for English language
• Eligibility: Only C1 & C2 scorers will be considered
• Required: Versant to give Today (1 Hour test)
• Mandatory: Kindly apply to this post urgently to get the Versant assigned.

Qualifications

• Bachelor's or Master's or PhD degree in Computer Science (CS), STEM field or related area (e.g., science, technology, engineering, mathematics, or education).
• Native or near-native proficiency in English.
• Understanding of the AI related technologies and LLMs (Large Language Models).
• Strong attention to detail and commitment to linguistic accuracy.
• Ability to work collaboratively in a fast-paced environment.
• Tier 1 & Tier 2 college Students or Pass outs are preferred.

Skills

• Strong foundation in research methodology and subject matter expertise in a STEM field (e.g., mathematics, science, engineering).
• Experience with technical writing, academic research, or content creation.
• Excellent analytical and critical thinking skills.
• Ability to evaluate scientific reasoning and technical writing.
• Strong written communication skills.
• Experience with prompt engineering and LLM evaluation.
• Familiarity with research trends and open questions in the relevant STEM field.
• Ability to work independently, asynchronously, and remotely.

About Innodata:

Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more.

With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence.

About the Role:

We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.

You will contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines, by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.

Key Responsibilities:

• Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems.
• Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
• Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.
• Support the development of guidelines for scientific content generation and annotation.
• Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
• Conduct domain-specific research and synthesize findings to guide model improvements.
• Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content.

Qualifications:

• PhD in Computer Science.
• Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
• Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
• Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.
• Excellent writing, editing, and communication skills.
• (Preferred) Experience with AI/ML concepts, data annotation, programming, or computational modeling.

Nice to Have:

• Experience working with large datasets or scientific databases.
• Knowledge of machine learning pipelines, NLP, or LLMs.
• Previous experience in interdisciplinary research or technical consulting.