Stealth Robotics Startup · 2 days ago
Data Annotation Specialist
Palo Alto, CA
Full-time
Onsite
New Grad, Entry Level
$23/hr - $23/hrStealth Robotics Startup is a robotics startup founded by Stanford alumni building foundational AI models for robot control. The Data Annotation Specialist labels and quality-checks robot episode data to train and evaluate manipulation models, ensuring high quality and consistency in the annotation process.
Industrial Automation
Responsibilities
Annotate robot episodes (video + metadata) using internal tooling, following labeling guidelines precisely
Maintain high quality standards by performing self-QC, spot checks, and fixing labeling errors before submission
Apply consistent judgment across large batches of data (same rules, every time), and document ambiguous cases
Track progress and output (batch completion, rework rate, error categories) and meet daily/weekly throughput goals
Handle data securely and follow confidentiality and access-control procedures
Flag edge cases or unclear labeling scenarios; work with researchers/ops leads to resolve ambiguities and improve guidelines
Contribute to guideline iteration by suggesting clearer definitions, examples, and “golden set” references
Support dataset audits (validating that metadata is complete, identifying corrupted/missing files, noting systematic issues)
Provide feedback on annotation tooling and workflow improvements to increase accuracy and throughput
Qualification
Required
Strong attention to detail and ability to apply rules consistently over long periods
Comfortable learning new software quickly and working in computer-based annotation tools all day
Clear written communication (able to document issues and ambiguity cleanly)
Reliable attendance and ability to work full-time on-site
Ability to maintain confidentiality and follow security procedures
Preferred
Prior experience with data labeling/annotation (video, image, or time-series)
Familiarity with basic QA concepts (spot checks, rework loops, “golden sets,” inter-annotator agreement)
Comfort with basic technical concepts (file systems, naming conventions, spreadsheets, simple debugging of tool issues)
Interest in robotics/AI workflows and willingness to learn domain-specific labeling taxonomies
Benefits
Schedule: Full-time, 5 days/week onsite
Overtime paid in accordance with CA law
Sick time: 40 hrs/year
PTO: 40 hours after 90 days, accrues 80 hrs/year, cap 120 hours
Medical: Pick from our plans, $600/month subsidy
Company provided lunch
Equity: stock options (details discussed during offer stage)
Company
Stealth Robotics Startup
New York, NY, US
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase