---
title: 'Senior Master Annotator at Skild AI'
canonical: 'https://feeny.ai/job/senior-master-annotator-skild-ai-bengaluru-xkj1ehjbea8p'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Master Annotator at Skild AI

- **Company:** Skild AI
- **Location:** Bengaluru, India
- **Posted:** 2026-02-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5135207008

## Job description

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

## About Skild AI

## Company Overview
- **One-liner**: Skild AI builds a general-purpose robotic intelligence (the "Skild Brain") that enables any robot to autonomously perceive, act, and interact across diverse physical environments.
- **Entity Type**: Private (venture-backed; latest round Series C closed January 2026)
- **Headquarters**: Pittsburgh, Pennsylvania, United States (also offices in San Mateo, San Francisco, and Bengaluru)
- **Founded**: 2023
- **Founders**: Not publicly available in the reviewed sources

## Core Business
- **Primary industry/industries**: Robotics, Artificial Intelligence, Physical Automation
- **Target customers**: B2B enterprise – manufacturing, construction, security/inspection, logistics, and other sectors requiring physical task automation
- **Mission or purpose statement**: "Bringing AI into the physical world" by building an omni-bodied brain that can control any robot for any task, learned from scalable, data-driven machine learning

## Products & Services
- **Skild Brain**: The core AI foundation model that works across different robot types and tasks, enabling low‑level skills (grasping, handover, navigation) abstracted via API calls.
- **Mobile Manipulation Platform**: Robots powered by Skild Brain that can navigate, grasp, and manipulate objects in unstructured environments.
- **Security/Inspection Robot Platform**: Robots equipped with Skild Brain for autonomous inspection in hazardous areas, reducing the need for human manual patrols.
- **Autonomous Packing System**: High‑precision dexterous manipulation for repetitive packing tasks.
- **Simulation & Data Tools**: Physics simulation environments and annotation pipelines used to train and validate the model.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – **$2.215B** (CB Insights) / **$2.21B** (PitchBook), including a **$1.4B Series C** in January 2026
- **Notable Investors/Partners**: Lightspeed, Felicis, Coatue, Bezos Expeditions, Sequoia Capital, and 39+ others (per CB Insights)
- **Growth Signals**:
  - Acquired Zebra Technologies’ robotics automation business (April 2026)
  - Rapid headcount growth: ~50 employees (PitchBook) with **51 open roles** listed on Greenhouse as of mid‑2026
  - Expanded footprint to multiple US cities and Bengaluru, India

## Competitive Advantages
- **Omni‑bodied AI**: A single foundation model works across diverse robot hardware and tasks, avoiding the need for task‑specific training.
- **Scalable data pipeline**: Learns from human videos and real‑world interactions, creating a long‑term data advantage.
- **End‑to‑end integration**: From simulation and data annotation to real‑world deployment, the company controls the full stack.
- **Backing by top‑tier VCs and Bezos Expeditions**, providing capital and strategic access for rapid scaling.

## Strategic Focus
- **Real‑world deployment**: Prioritizing tangible robot applications (packing, inspection, manipulation) to deliver immediate customer value.
- **Data moat**: Continuing to scale data acquisition through human‑video learning and proprietary simulation.
- **Cross‑industry expansion**: Moving from early‑stage deployments into construction, manufacturing, logistics, and security verticals.

## Why Work Here
- **Innovation‑driven culture**: Described as a team where “curiosity meets impact,” tackling the frontier of physical AI.
- **Diverse openings**: 50+ roles across engineering (CV/ML, manipulation, embedded, simulation, infrastructure), research, product, operations, and marketing.
- **Global presence**: Offices in Pittsburgh, San Mateo, San Francisco (US) and Bengaluru (India); some roles allow remote work, though many are location‑specific.
- **Engineering‑forward**: Emphasis on data‑driven machine learning, robotics, and large‑scale systems, with opportunities to work on the core AI model and deployment.
- **Perks**: Not detailed, but typical for venture‑backed robotics startups include competitive equity, modern hardware, and a mission‑oriented environment.

## Sources
1. [skild.ai](https://www.skild.ai/)
2. [Greenhouse Job Board](http://job-boards.greenhouse.io/skildai-careers)
3. [CB Insights](https://www.cbinsights.com/company/skild-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/608340-52)

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