Physics Problem Evaluator
Claru • Remote
Education
Not stated
Type
Hourly
Pay Rate
$55–$100/hr
Listed
13d ago
About this role
From the Claru listing
You'll review AI-generated solutions to university-level and graduate physics problems — mechanics, electromagnetism, thermodynamics, quantum mechanics, and beyond. Each task involves reading a model's step-by-step response, identifying errors in reasoning or calculation, and rating the output on correctness, logical coherence, and depth of explanation. You won't just flag wrong answers; you'll articulate precisely where the model's reasoning broke down and, where asked, provide a corrected reference solution.
Your work spans three main workflows: ambiguous-case judgment (deciding when a non-standard approach is still valid), written technical feedback (annotating specific failure modes in a model's derivation), and problem-solving depth review (assessing whether a solution demonstrates genuine physical intuition or is just symbol-shuffling). Tasks arrive in batches via a structured web interface; you log in, claim a batch, complete it, and submit — no scheduling calls, no meetings.
The role requires at minimum a graduate-level background in physics or a closely related field. Professor- or PI-level experience is strongly preferred because many tasks involve research-adjacent material: statistical mechanics, condensed matter, or computational physics at the level of a first-year PhD course. You'll be compensated at the Expert tier and are expected to maintain accuracy above the project's threshold, which will be shared during onboarding.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Why this role
At $55–$100/hr, this remote Physics Problem Evaluator role pays competitively without asking you to relocate, interview in person, or keep fixed hours in STEM.
Talent pool
We're light on STEM candidates
We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
What makes this one of Claru's higher-paying roles?
Claru bands its desk-based work by how much judgement a task needs. This listing sits in the top band at $55-$100/hr, alongside its RLHF evaluation, medical and 3D vision annotation and red-teaming roles, all of which expect graduate-level or professional depth in the subject and the ability to justify a score in writing. Its entry-tier text labeling sits at $20-$35/hr for comparison.
Is Claru desk work a steady queue or does it arrive in batches?
Batches. Claru describes this work as asynchronous with no scheduled hours and no meetings: you claim a batch, complete it and submit. There is no guarantee a new batch is waiting when you finish one, so treat it as recurring project income rather than a fixed weekly wage.
Does Claru publish the rate before I apply?
Yes. Every listing on claru.ai/jobs shows its hourly band on the card and again on the role page, so you can compare a $20-$35/hr labeling role against a $55-$100/hr evaluation role without creating an account first.
How does Claru measure quality on this kind of work?
Through agreement scoring and review. Its evaluation roles set a target for how closely your scores track other annotators, and disagreements with reviewers are resolved in an async comment thread you are expected to answer within a day. Consistently strong scores are what unlock the senior and lead tracks Claru mentions in its listings.
Do I need a PhD for academic-niche AI training roles?
For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what decides it: if you can solve the problems, the degree becomes secondary.
Is academic-niche AI training a continuous job?
Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.
What does STEM work look like for a Physics Problem Evaluator?
Tasks here are scoped to STEM, not generic labeling. As a Physics Problem Evaluator, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $55–$100/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Claru's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind Claru?
Claru is the contributor-facing brand of Reka AI, which collects human data for frontier AI labs across text, vision, video and robotics. Its board splits into regional video capture work and desk-based annotation and evaluation, and the apply link on this page is an affiliate link that does not change your pay or what you are offered.