Member of Technical Staff (Robotics Lab)

Core team
$500K - $1.5M/yr compensation

Required Skills

Robotics Data
Robot Perception
Schema Design
Robotics R&D

Job Description

Job Title: Member of Technical Staff (Robotics Lab)


Job Type: Full-time


Location: Remote


Job Summary:

Join us to help define the future of robotics data. As a Robotics Researcher, you’ll work at the forefront of R&D—shaping how embodied data is collected, structured, and used for robot learning and perception.


What You’ll Do:

  1. Define and standardize robotics data formats, schemas, and benchmarks.
  2. Design innovative data collection methods (human demos, teleop, sensors).
  3. Collaborate with cross-functional teams to align on model training data.
  4. Evaluate datasets for diversity, scalability, and impact.
  5. Prototype experiments and tools for efficient data gathering.
  6. Stay updated on leading labs (Tesla, Figure, 1X) and integrate best practices.


What You Bring:

  1. 2–5+ years in robotics R&D, data engineering, or applied research.
  2. Strong grasp of robotics data pipelines and multimodal schemas (RGB-D, IMU, pose, language).
  3. Experience in robot perception, control, or data-driven learning.
  4. Excellent communicator with cross-disciplinary collaboration skills.
  5. Degree in Robotics, CS, EE, or related field.


Bonus Points:

  1. Experience at top robotics or AI companies.
  2. Familiarity with embodied AI datasets or imitation learning pipelines.
  3. Hands-on sensor prototyping experience.


Regional Hiring Notes

This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.

About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

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