Micro1 review · AI Training & Data Labeling

Mechatronics Engineer — Robotic Arm Video Annotation (micro1)

Robotics video annotation
Pay
$50–$90 per hour
Location
Remote · 5 countries
Posted
Oct 2

What the work involves

micro1 is engaging Mechatronics Engineers to contribute to a specialised video annotation project for a customer's advanced robotics initiative. You'll review and annotate footage of robotic arms performing complex industrial tasks, applying the provided grading guidelines to tag, classify and comment on each session.

Your job is to spot and explain mechanical and control problems — why a machine failed or ran inefficiently — and to turn that judgement into precise, consistent annotations that advance AI training quality. No prior AI experience is required. Contractor, remote, open to candidates in North America, Latin America, Europe, the UK and Oceania.

What you'll do

  • Review recorded video sessions of robotic arms executing industrial tasks
  • Apply the provided grading and annotation guidelines to tag, classify and comment on each session
  • Identify, document and categorize mechanical or control problems observed in the footage
  • Use expert understanding of machine movement to pinpoint the cause of failures or inefficiencies
  • Keep annotations precise, comprehensive and aligned with project standards
  • Collaborate with project coordinators to clarify ambiguities in guidelines or footage
  • Deliver consistent, high-quality annotations within the project's framework and timeline

Requirements & eligibility

  • Professional background in Mechatronics Engineering or a closely related discipline
  • Ability to spot and interpret mechanical and control problems in complex machinery
  • Understanding of why and how machines fail and the dynamics of robotic movement
  • Strong attention to detail with a record of accurate technical deliverables
  • Prior video annotation or data-labelling experience for robotic or industrial automation systems (preferred)
  • Experience supporting AI training or machine-learning projects (highly preferred)
  • Ability to work autonomously and deliver in a remote, asynchronous environment
  • Eligibility to work from North America, Latin America, Europe, the UK or Oceania

How to apply

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