Data Annotation Specialist, Physical AI

Genesis Therapeutics
San Francisco, CA
On-site

Who this role is best for

Best suited to detail-oriented individuals with prior annotation experience working in robotics and AI domains, in a contract-based role with a startup environment.

Best fit for

  • Candidates with 2-5 years of annotation experience and a passion for robotics and AI domains
    — “2-5+ years of data annotation or labeling experience in a detail-heavy, deadline-driven environment”
  • Those who can balance speed and accuracy while maintaining strong written communication skills
    — “A track record of high-accuracy work at volume, with the ability to hold quality while speed increases”

Things to consider

  • Contractual work may require flexibility in long-term commitment and compensation expectations
    — “Pay range reflects the expected hourly rate for this role in the San Francisco Bay Area”
  • Candidates must be prepared to work closely with researchers and provide judgment on complex cases
    — “Your judgment on hard cases will shape our guidelines, our tools and, ultimately, how our robots behave”

How to stand out

  • Emphasize experience with video, 3D, or robotics data in your resume and interview responses
    — “Experience with video, 3D, point-cloud, text, or robotics data”
  • Showcase your ability to write clear, consistent natural-language descriptions of behavior
    — “Write clear, consistent natural-language descriptions of robot and human behavior”
  • Highlight your ability to flag ambiguous cases and contribute to shaping guidelines
    — “Flag ambiguous or edge cases and help define how they should be handled”
  • Demonstrate your capacity for quality assurance and calibration sessions with peers
    — “Perform quality assurance checks on teammates' annotations and join regular calibration sessions”
  • Demonstrate your ability to report tool bugs and improve workflow efficiency
    — “Report tool bugs, workflow friction, and guideline gaps to the engineering team”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Annotated robot episodes, videos, images, and sensor data
  • Performed quality assurance checks on teammates' annotations
Typical background
2-5+ years of data annotation or labeling experience

Skills & requirements

Required

Data AnnotationQuality AssuranceRobotics Data HandlingNatural Language Description

Preferred

RoboticsMachine Learning

Stack & domain

Data AnnotationRoboticsVideo AnnotationSensor Data AnnotationQuality AssuranceAttention To DetailProblem SolvingCommunicationTeamworkAdaptabilityMachine Learning

About the role

Original posting from Genesis Therapeutics via Ashby

ABOUT GENESIS AI

Genesis AI is building a universal robotics foundation model — the "brain" that lets robots see, reason and handle objects in the real world. Our models learn from large volumes of robot, simulation and human-demonstration data, and the quality of that data directly shapes how well our robots perform.

THE ROLE

We're scaling our labeling team. You'll review and annotate robot and video data that trains and evaluates our models, working side by side with the researchers who use it. Your judgment on hard cases will shape our guidelines, our tools and, ultimately, how our robots behave.

WHAT YOU'LL DO

  • Annotate robot episodes, videos, images, and sensor data using internal labeling tools
  • Label objects, actions, task steps, and successes or failures in robot demonstrations
  • Write clear, consistent natural-language descriptions of robot and human behavior
  • Flag ambiguous or edge cases and help define how they should be handled
  • Perform quality assurance checks on teammates' annotations and join regular calibration sessions
  • Meet quality and throughput targets while tracking your own accuracy over time
  • Report tool bugs, workflow friction, and guideline gaps to the engineering team

WHAT WE'RE LOOKING FOR

  • 2-5+ years of data annotation or labeling experience in a detail-heavy, deadline-driven environment
  • A strong sense of ownership: you see work through to the finish line
  • Drive and urgency: you're hungry to learn, move fast, and keep going on tight deadlines
  • A track record of high-accuracy work at volume, with the ability to hold quality while speed increases
  • Sharp attention to detail and the judgment to spot when instructions fall short
  • Excellent written communication, and the confidence to raise problems early
  • Comfort with ambiguity and shifting priorities in a fast-moving startup
  • Curiosity, coach-ability, and consistency

BONUS QUALIFICATIONS

  • Prior data annotation, quality assurance, or issue triage experience

Experience with video, 3D, point-cloud, text, or robotics data

  • Interest in robotics, machine learning, or how physical tasks are performed

Genesis AI is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability or veteran status. Pay range reflects the expected hourly rate for this role in the San Francisco Bay Area; final rate depends on skills and experience.

Source: Genesis Therapeutics careers (Ashby)

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