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STEM Researcher - Computational Fields

$90
per hour
Hourly contract Remote Last verified 21 Jul 2026
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About the Role

This is a full-time W-2 opportunity with Cincinnatus LLC. As part of this role, you may be staffed as a contractor with a leading technology company. Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

What You'll Do

  • Design tasks: Turn the research skills you use every day - designing studies, testing hypotheses, evaluating results - into engaging, multi-step tasks.
  • Author solutions: Work through your own tasks in Python and notebooks, at the level of rigor you'd expect from a careful colleague.
  • Define what good looks like: Help spell out what separates sound scientific reasoning from reasoning that merely sounds right.
  • Evaluate models: Review model attempts at your tasks and flag the mistakes a working researcher would spot right away.

You're a Good Fit If You

  • Relevant professional experience in this field.
  • Strong written communication skills.
  • Available for the stated weekly commitment.

Role Highlights

Pay
$60-$90/h
Contract
Hourly contract
Location
Remote
Category
Research
Posted
9 days ago
Job ID
WE-6157

Pay & Payout

Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.

Common Questions

Mercor has a reliability rating of very reliable based on the listings we track, with an onboarding time of 1-3 weeks (interview + assessment + trial). See our full Mercor review for the details behind that rating.

Applying takes you to Mercor's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

$60-$90/h - Independent contractor engagement, fully remote. Mercor pays weekly via Stripe or Wise.

Design tasks: Turn the research skills you use every day - designing studies, testing hypotheses, evaluating results - into engaging, multi-step tasks. Author solutions: Work through your own tasks in Python and notebooks, at the level of rigor you'd expect from a careful colleague. Define what good looks like: Help spell out what separates sound scientific reasoning from reasoning that merely sounds right.

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