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Genesis AI

Robotics simulation and AI foundation platform

Data Annotation Specialist - Physical AI

Applied Machine LearningUpdated on Nov 10
ContractSan Carlos, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 2 years of data annotation or labeling experience in a detail-heavy, deadline-driven environment.
  • Demonstrated ability to produce accurate work at volume while maintaining quality as speed increases.
  • Strong attention to detail and judgment to identify when instructions are insufficient.
  • Excellent written communication and confidence raising problems early.
  • Comfort with ambiguity and shifting priorities in a fast-moving startup.
  • Curiosity, coachability, and consistency.

Responsibilities

  • 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 participate in regular calibration sessions.
  • Meet quality and throughput targets while tracking personal accuracy over time.
  • Report tool bugs, workflow friction, and guideline gaps to the engineering team.

Desired 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.

About the Company

Genesis AI

Robotics simulation and AI foundation platform

Genesis AI provides a unified platform that combines robotics simulation, high-fidelity rendering, physics, and foundation models to support development in robotics and AI. It operates as a platform-as-a-service and licensing option so teams can run large-scale simulations, train reinforcement learning agents, and develop generative models in realistic virtual environments where physics, geometry, rendering, and AI tooling work together. It differs from others by bringing together core capabilities from robotics simulation, real-time rendering, computational geometry, and AI model development into one cohesive platform, backed by a team with experience at Havok, Unity, Autodesk, Google, and Epic Games. Its goal is to become a foundational technology layer that speeds up robotics and AI innovation by enabling efficient simulation, testing, and model development in a single environment.

Company size
51-200
Company stage
Seed
Total funding
$105M
Headquarters
Paris, France
Founded
2024

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