Senior Master Annotator
Hybrid (Bengaluru)full-timePosted 3mo ago
About the role
Senior Master Annotator to define, maintain, and continuously improve annotation standards for robotic datasets, act as gold standard authority for labeling tasks, own Inter-Annotator Agreement (IAA) measurement, and train calibrate annotators to ensure high-quality annotations for robotics model training.
Responsibilities
- Define and maintain gold-standard annotations and benchmark (“gold set”) datasets for new and existing tasks
- Establish clear acceptance criteria, tolerance thresholds, and task-specific quality standards (e.g., frame-level tolerances)
- Develop, document, version-control, and continuously refine annotation guidelines and SOPs based on disagreement patterns and quality findings
- Design and implement Inter-Annotator Agreement (IAA) frameworks (e.g., Cohen’s/Fleiss’ kappa, tolerance-based agreement models) and produce regular quality reports
- Analyze disagreement trends, identify root causes, and recommend data-driven process improvements
- Lead onboarding and ongoing training for annotators, including structured calibration sessions
- Build and maintain edge-case libraries and example banks to improve annotation consistency
- Provide targeted feedback and retraining to improve annotator performance and alignment with gold standards
- Conduct precision-based QC audits according to task requirements and validate pilot batches prior to production scaling
- Review escalated edge cases and partner with QA and Operations teams to optimize sampling strategies and quality processes
Qualifications
- 4–7+ years of experience in data annotation, quality control, or video labeling environments
- Strong expertise in temporal video annotation; experience with robotics, computer vision, or autonomous systems datasets preferred
- Deep understanding of Inter-Annotator Agreement methodologies (e.g., Cohen’s/Fleiss’ kappa), quality metrics, sampling strategies, and gold set creation
- Experience mentoring, training, or guiding annotators to improve accuracy and consistency
- Strong analytical skills with proficiency in Excel or Google Sheets (Python preferred but not required)
- Ability to translate ambiguous SOPs into precise, actionable annotation guidelines
- Exceptional attention to detail and sound judgment in ambiguous visual tasks
- Data-driven, process-oriented mindset with strong ownership and accountability
- Excellent written and verbal communication skills
Skills
Required:Gold-standard annotation creationInter-Annotator Agreement (IAA)Annotation guideline developmentTraining and onboardingTemporal video annotationQuality metrics and sampling strategies
Benefits
- Competitive compensation package
- Opportunities to work on cutting-edge robotics AI projects
- Collaborative, fast-paced environment in Bengaluru, India
Last updated Jul 5, 2026. Interested? Apply on the company site.
About Skild AI
Bringing AI into the physical world
Building general purpose robotic intelligence
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