At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a highly detail-oriented and technically strong Senior Master Annotator to define, maintain, and continuously improve annotation standards for robotic datasets. Various type of data sets can be generated which needs to be annotated and quality checked before they are put in production
This role will act as the gold standard authority for labeling tasks,
own Inter-Annotator Agreement (IAA) measurement, train and calibrate annotators, and ensure that annotation quality meets the high standards required for robotics model training.
The ideal candidate understands image, video, 3D and audio annotation, quality metrics, and how annotation accuracy impacts model performance.
Responsibilities
- Define and maintain gold-standard annotations and benchmark (“gold set”) datasets for recent 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 tr
📌 Senior Master Annotator (Bengaluru)
🏢 Skild AI
📍 Bengaluru
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