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Robotics Expert, AI Trainer

Sovrano AI Sovrano AI Part-timeRemote (United States, United Kingdom, Ireland, Canada, or Australia) $40–125/hr
Posted Nov 2, 2026 · ✓ Still open — checked 43 minutes ago

Quick facts

Pay
$40–$125/hr
Type
Part-time
Location
Remote (United States, United Kingdom, Ireland, Canada, or Australia)
Hours
10+ hours / week
Skills
Python, C++
Platform
Sovrano AI — 25 open jobs
Typical pay at Sovrano AI
$35–125/hour · median $83 (24 jobs on our site)
Payout
Bank transfer (reported by workers)
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Fully remote, project-based work on how frontier AI performs at real robotics engineering, from kinematics and control to perception, planning, and embedded systems. You build tasks out of your own lab or industry experience and grade where the model falls short. $40 to $125 USD an hour, at least 10 hours a week, as an independent contractor. For practicing robotics engineers in the US, UK, Ireland, Canada, or Australia.

About the role

Frontier models can explain robotics concepts and still stumble when asked to derive, tune, or debug a real system. This role puts your practice on that gap. You write realistic problems based on work you have done yourself, give them to frontier AI models, and judge the results the way you would review a colleague's design. Tasks are long form and you set your own pace, so writing clearly about your reasoning matters as much as the engineering.

What you'll do

  • Turn problems from your own work into realistic tasks, with a clear brief and the supporting files an expert would need
  • Run the tasks through frontier AI models and judge what comes back against the standard of your profession
  • Compare two model responses to the same task and explain which one holds up, and why
  • Write grading rubrics that spell out what a correct answer has to include
  • Document specific errors in model output, with evidence

Requirements

  • Based in the United States, United Kingdom, Ireland, Canada, or Australia
  • Degree in robotics, mechatronics, or a related engineering or computer science field, completed or in progress
  • Available at least 10 hours per week
  • PayPal account for payment
  • Willing to work without LLM assistance where the project does not permit it
  • Use one email address to sign up, take the assessment, and get paid

Ideal qualifications

  • 2+ years of industry or research experience in robotics, in any specialty (manipulation, mobile robots, controls, perception, motion planning)
  • Degree in robotics, mechatronics, or a related engineering or computer science field, completed or in progress
  • Comfortable with the standard tools of your specialty, such as ROS, simulation, and Python or C++
  • Full professional or native-level written English
  • Based in the United States, United Kingdom, Ireland, Canada, or Australia

Nice to have

  • Published work or open-source robotics contributions (welcome, not required)
  • Have used Claude or ChatGPT in professional work
  • Prior work on an AI training or data platform

What success looks like

  • You clear the skills assessment on your own work, with no AI assistance
  • Your tasks come from real problems in your own practice, and a frontier model genuinely fails them
  • Your rubrics are specific enough that another expert would grade the same response the same way
  • You act on reviewer feedback without needing to be walked through it
  • You keep at least 10 hours a week going, week after week

Pay and contract

$40 to $125 USD an hour. The rate varies with your expertise, education, and experience. Minimum 10 hours a week with no weekly maximum; full-time hours are available.

Independent contractor, fully remote. Payment runs through PayPal, so you need a PayPal account. As an independent contractor, you handle your own taxes.

Getting on: a skills assessment that takes most people four to six hours. You are paid $240 for it if you pass, and you get one attempt, so take your time and do your best work. Work produced with AI tools is rejected.

After you pass: onboarding and a short training project, then you propose a task from your own practice, build it, and run it against frontier models. Each stage is reviewed before you move on, and you are paid for the work you complete.

Skills

Kinematics, Control systems, Motion planning, Robot perception, ROS, Rubric writing