Job Summary:
Tata Consultancy Services is seeking a Data Annotator / Data Labeling Specialist to support their technology function. The role involves accurately labeling various types of data, performing quality checks, and collaborating with engineers to improve labeling frameworks.
Responsibilities:
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with:
• Image annotation
• NLP data labeling
• Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 10+ years’ experience
• Agile concepts
• CI/CD
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Ability to follow structured guidelines precisely
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
Preferred:
• Familiarity with image annotation
• Familiarity with NLP data labeling
• Familiarity with data categorization techniques
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Basic computer skills (Excel, Google Sheets)
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.