Company Overview

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 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

Skild AI is building the world's first general-purpose robotic intelligence — an omnibodied AI brain that can be deployed into any hardware platform, from humanoid robots to warehouse automation systems to quadrupeds. Founded in 2022 and headquartered in San Mateo, California, Skild AI takes a fundamentally different approach to the robotics race: rather than building a single robot, they've created a platform-agnostic foundation model that makes any robot a dramatically better version of itself.

The company operates at the intersection of massive-scale machine learning and physical robotics, believing that data-driven AI is the key to unlocking robust robotic intelligence that adapts to unseen scenarios without failing. Their customers include major technology companies like Amazon and NVIDIA, who integrate Skild's brain into their own hardware platforms.

With over $1.8 billion in funding from world-class investors including SoftBank, Sequoia Capital, NVIDIA, Bezos Expeditions, and Samsung, Skild AI has grown from a 12-person team to nearly 200 employees in under two years. The company also pursues strategic acquisitions — such as Fetch Robotics — to expand their hardware footprint and demonstrate the transformative power of their AI when deployed into existing platforms.

Skild AI fosters a fast-paced, high-ownership startup culture where team members work directly with founders and have outsized impact. The founding team emerged from CMU's robotics ecosystem, and the company values demonstrated ability and attitude over pedigree, welcoming individuals from new graduates to domain experts who are passionate about exploring uncharted territory in embodied AI.

Senior Master Annotator

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