Senior Master Annotator

Skild AI; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A pioneering AI company in India is seeking a highly detail-oriented Senior Master Annotator. This role involves defining and improving annotation standards for robotic datasets, ensuring quality control, and training annotators. The ideal candidate will have 4-7+ years of relevant experience, particularly in video annotation and robotics datasets. Strong analytical skills, attention to detail, and excellent communication abilities are essential. Join us in shaping the future of robotics through data-driven approaches.

Qualifications

• 4–7+ years of experience in data annotation, quality control, or video labeling environments.
• Strong expertise in temporal video annotation and familiarity with robotics datasets.
• Deep understanding of Inter-Annotator Agreement methodologies.

Responsibilities

• Define and maintain gold-standard annotations and benchmark datasets for tasks.
• Establish clear acceptance criteria and task-specific quality standards.
• Design and implement Inter-Annotator Agreement frameworks and produce quality reports.
• Analyze disagreement trends and implement data-driven process improvements.
• Lead onboarding and ongoing training for annotators.

Skills

Data annotation

Quality control

Video labeling

Analytical skills

Attention to detail

Tools

Excel

Google Sheets

Python

Job description

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 types of datasets can be generated which need 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 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

Preferred 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