Remote Electronics Engineer for Robotics & AI Training

AI Trainer Jobs; United States; Remote; USD 69,000 - 124,000; Part time

Job summary

micro1 is a leading AI data lab that trains frontier models by leveraging expert knowledge across domains including electronics, robotics, and automation. We hire Electronics Engineers on a remote contractor basis to review and annotate robotic video data for AI training and evaluation.

No prior AI experience is required—your domain expertise and ability to communicate technical observations clearly are what matter to contribute to high-quality AI systems.

Qualifications

• Degree in Electronics or Electrical Engineering required.
• Experience with electrical system design, analysis and troubleshooting.
• Robotics/automation/mechatronics experience is a plus.

Responsibilities

• Review and annotate robotic system videos, providing accurate and insightful feedback based on electrical and electronic system observations.
• Analyze and interpret complex electrical schematics and system diagrams as they pertain to robotic systems.
• Identify, document, and explain electrical or electronic events, anomalies, or system functions visible in video materials.
• Draft clear, concise written annotations and explanatory notes for machine learning specialists and fellow engineering experts.
• Contribute to the refinement of guidelines for video annotation, ensuring accuracy and consistency.
• Collaborate asynchronously with technical teams to clarify requirements and share insights on electronic systems in robotics.

Skills

Electronics Engineering

electrical system design

Education

Degree in Electronics Engineering or Electrical Engineering

Job description

micro1 is a leading AI data lab that trains frontier models by leveraging expert knowledge across domains including electronics, robotics, and automation. We hire Electronics Engineers on a remote contractor basis to review and annotate robotic video data for AI training and evaluation.

No prior AI experience is required—your domain expertise and ability to communicate technical observations clearly are what matter to contribute to high-quality AI systems.