SME/TL-Data Annotation

About The Role:

As a Subject Matter Expert (SME)/Team Lead in Data Annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects.

• Technical and Domain expert
• Mentor annotation teams
• Establish annotation guidelines
• Conduct quality audits
• Support client and internal teams with domain-specific insights.

Tools Experience Expected:

CVAT, Amazon SageMaker, BasicAI, LabelStudio, SuperAnnotate, Loft, Cogito, Roboflow, Slicer3D, Mindkosh, Kognic, Praat

• Annotation Expertise Areas:
• Image, Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints
• 3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic Segmentation
• Audio Annotation: Speech, Noise Labelling, Transcription
• Text Annotation: NER, Sentiment Analysis, Intent Detection, NLP tasks
• Exposure to LLMs and Generative AI data annotation tasks (prompt generation, evaluation)
• Key Responsibilities:
• Act as a Subject Matter Expert to guide annotation standards, processes, and best practices.
• Create, refine, and maintain detailed annotation guidelines and ensure adherence across teams.
• Conduct quality audits and reviews to maintain high annotation accuracy and consistency.
• Provide domain-specific training to Data Annotators and Team Leads.
• Collaborate closely with Project Managers, Data Scientists, and Engineering teams for dataset quality assurance.
• Resolve complex annotation issues and edge cases with data-centric solutions.
• Stay current with advancements in AI/ML and annotation technologies and apply innovative methods.
• Support pre-sales and client discussions as an annotation domain expert, when required.

Key Performance Indicators (KPIs):

• Annotation quality and consistency across projects
• Successful training and upskilling of annotation teams
• Timely resolution of annotation queries and technical challenges
• Documentation of guidelines, standards
• Client satisfaction on annotation quality benchmarks

Qualifications:

• Bachelor's or master's degree in a relevant field (Computer Science, AI/ML, Data Science, Linguistics, Engineering, etc.)
• 3–6 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3D).
• Deep understanding of annotation processes, tool expertise, and quality standards.
• Prior experience in quality control, QA audits, or SME role in annotation projects.
• Strong communication skills to deliver training, documentation, and client presentations.
• Familiarity with AI/ML workflows, data preprocessing, and dataset management concepts is highly desirable.

Work Location:

• In-person (Salem, Tamil Nadu)

Languages :

Schedule:

• Day Shift

• Monday to Saturday

• Weekend availability required

Supplemental Pay:

• Overtime pays
• Performance bonus
• Shift allowance
• Yearly bonus

Contact

Job Type: Full-time

Schedule:

• Day shift

Experience:

• data annotation: 2 years (Preferred)

Work Location: In person