Data Annotation Lead

Experience level - 8-14 years

Job Description Annotation Lead

Location:Remote (India)
Employment Type: Full-Time
Shift: Overlap with US Business Hours
Joining Requirement: Immediate Joiners Preferred
Visa Requirement: Valid US Business Visa (Mandatory)

About the Role

We are looking for an experienced Annotation Lead to drive end-to-end data annotation operations for AI/ML programs. The ideal candidate will be responsible for managing annotation workflows leading distributed teams and vendors ensuring data quality and delivering high-quality labeled datasets at scale. This role requires a strong blend of operational leadership annotation expertise and quality governance.

Key Responsibilities

Annotation Operations & Delivery

• Lead and manage large-scale annotation projects across image video and multimodal datasets.
• Plan prioritize and monitor annotation workloads to ensure timely delivery.
• Coordinate with stakeholders data scientists and engineering teams to understand project requirements and translate them into executable annotation workflows.
• Identify operational bottlenecks and implement process improvements to increase efficiency and throughput.

Tool & Platform Management

• Hands-on experience with any one leading annotation platform such as SuperAnnotate Labelbox Scale AI CVAT V7 or equivalent.
• Configure projects workflows user roles review pipelines and quality checkpoints.
• Manage dataset imports/exports and support integration requirements where needed.
• Drive platform adoption and best practices across annotation teams.

Workforce & Vendor Management

• Manage internal annotators and external vendor teams.
• Track productivity utilization SLA adherence and operational performance.
• Establish performance metrics and drive continuous improvement initiatives.
• Conduct team training calibration sessions and performance reviews.

Data Quality & Governance

• Define and monitor annotation quality standards.
• Implement quality assurance processes audits and validation frameworks.
• Measure annotation consistency using metrics such as Inter-Annotator Agreement (IAA) Consensus Scoring Cohens Kappa or similar quality measures.
• Develop gold-standard datasets and corrective action plans to improve quality outcomes.

Documentation & Training

• Create clear annotation guidelines SOPs and training materials.
• Translate technical requirements into easy-to-understand labeling instructions.
• Conduct onboarding and continuous training for annotation teams.

Required Qualifications

• Bachelors degree in Computer Science Engineering Data Science Information Technology or related field.
• 6 years of experience in Data Annotation AI Operations Data Labeling or ML Data Programs.
• Hands-on experience with at least one annotation platform (SuperAnnotate Labelbox Scale AI CVAT V7 or equivalent).
• Experience managing annotation teams workforce operations or vendor partners.
• Strong understanding of annotation quality frameworks and review processes.
• Knowledge of image video and multimodal annotation techniques.
• Excellent communication stakeholder management and problem-solving skills.
• Ability to work independently in a remote environment.

Preferred Qualifications

• Experience supporting Computer Vision Generative AI or Machine Learning projects.
• Exposure to semantic segmentation object detection object tracking OCR LiDAR or 3D annotation projects.
• Basic knowledge of Python APIs JSON XML or CSV data formats.
• Experience managing globally distributed teams.

Required Experience:

Staff IC