648 Data Labeling Tools jobs in India

Content Data Annotation

Noida, Uttar Pradesh The pathfinder

Posted 1 day ago

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Job Description

**Job Profile**:
Associate play an integral role in maintaining a safe and enjoyable atmosphere for social media users. The primary role of a data annotator is to identify, classify, categorize, annotate, and label predetermined user-submitted online or other content, as well as review project guidelines and specifications to provide the client with the necessary data that will be utilized in machine learning programs that lead to process improvements.

Interested participants must also be prepared to view and evaluate large volumes of content that may sometimes include spam, Not Safe for Work (NSFW) content, disturbing, abusive language, suggested images, photos, videos and other data types.

As the volume and specifications of incoming projects are ever-changing, annotators must be prepared to assist in other roles, as necessary. The position will include ongoing training programs for development within the role.

To be successful, Associates will need to consistently meet/exceed predefined progress goals.

**Responsibilities**
- Review and understand content and ensure that project procedures and guidelines are met while upholding a high standard of accuracy and quality
- Participate in regular debriefings and meetings to discuss edge cases and updated guidelines
- Meet/Exceed set performance indicators defined by the client
- Submit edge cases and complex topics for discussion
- Comply with corporate confidentiality policies
- Participate in ongoing training programs for continued development in the role
- Provide recommendations for and remain up to date on workflow process changes, updated guidelines, and any other changes
- Willingness to take on other responsibilities, as needed

**Qualifications**
- Adept at social media language and slang
- Advance familiarity with current and developing social media trends and other popular culture references, particularly in the U.S. scene
- High levels of social and cultural awareness
- Excellent Social Media Intelligence (SocMInt)
- Strong emotional intelligence
- Highly detail oriented
- Ability to make quick, educated decisions
- Collaborative attitude in all channels of the workplace
- Resilient, adaptable, and flexible nature to meet changing deadlines and client requirements
- Dedicated and private home workspace ensuring NSFW, disturbing and/or sensitive content being processed are kept confidential from others in the household especially to minors
- Reliable home internet
- Bachelor’s Degree is a must.

**Job Types**: Full-time, Permanent

Pay: ₹35,000.00 - ₹42,000.00 per month

**Benefits**:

- Health insurance
- Work from home

Work Location: Remote
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Associate - Machine Learning Data Annotation

Hyderabad, Andhra Pradesh JPMorgan Chase & Co.

Posted today

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Job summary: 

The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and work on the collection, annotation and enrichment of data for machine learning models. Our work spans the company’s lines of business, with exceptional opportunities in each.

The successful candidate will work on multiple projects and provide data annotation services across a variety of data types including, but not limited to, text, chats, emails and audio. We expect the candidate to understand the business use-case and own the data annotation pipeline to go from the raw data to a reliable, annotated ground truth that can be used by sophisticated machine learning methods for banking applications such as risk assessment, trading models, customer relationship management, and pricing models.

Job responsibilities:

  • Work on data labeling tool(s) and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label.
  • Collaborate with stakeholders including machine learning engineers, data scientists, data engineers and product managers across all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management. 
  • Work on engagements from understanding the business objective through the data identification, annotation and validation.
  • Comprehend the subtleties of language used in the financial industry. Conduct research and bring clarity in business definitions and concepts. Annotate the terms, phrases, and data as per the project requirement.
  • Understand and define the relationship among entities.
  • Validate model results from the business perspective and provide feedback for model improvement.
  • Effectively communicate data annotation concepts, process and model results to both technical and business audiences. Break down ML annotation topics in a clear manner
  • Transcribe verbatim audio recordings, single and multi-speaker of varying dialects and accents and identify relevant keywords and sentiment labels
  • Build a thorough understanding of data annotation and labeling conventions and develop documentation/guidelines for stakeholders and business partners
  • Develop key workflows, processes and KPIs to measure annotation performance and assess quality.
  • Become a subject matter expert and trusted advisor to your business partners to create and structure new annotations, labels and sub-labels. Represent data annotation team on multiple internal forums with other stakeholders. 
  • Create an effective roadmap and implement best practices of data annotation for production-level machine learning applications. 
  • Build rapport and work with stakeholders and understand the business use-case. Collaborate with other members in the team to deliver accurate and relevant data annotations
  • Required qualifications, capabilities, and skills:

  • Masters in a business management (MBA) with finance specialization. 
  • 5-7 years of hands-on experience in data collection, analysis or research.
  • Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
  • Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems and interested in data analytics techniques.
  • An understanding of model scoring parameters such as precision, recall and f-score
  • Exposure/working knowledge of prompt engineering
  • Experience in data extraction/collection form financial documents
  • Experience with data annotation, labeling, entity disambiguation and data enrichment.
  • Familiarity with industry standard annotation and labeling methods
  • Exposure to voice translation services and tools
  • Familiarity with Machine learning and AI paradigms such as text classification, entity recognition, information retrieval
  • This advertiser has chosen not to accept applicants from your region.
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