Anyone AI
via Ashby
Physics Expert - AI Trainer (Italy)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 88d ago
The date the source published, not the day we noticed it (2026-06-18). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Italy
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 17d ago · last seen 3h ago
The listing
Location: Remote
Type: Contract / Part-time
Commitment: 20 to 40 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
About the role
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
What you’ll do
Design advanced physics problems for frontier AI training and evaluation
Create deterministic problems with exactly one correct answer
Write complete, verified solutions and clearly document the reasoning process
Develop problems that test deep physical reasoning and multi-step analysis, not just memorization
Where relevant, use Python or specialized tools to build simulations, models, or computational workflows
Ensure all outputs are technically precise, reproducible, and well-written in English
What we’re looking for
Master’s, or PhD in Physics or a closely related field
Strong research or industry experience involving theoretical, experimental, or computational physics
Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar
Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
Ability to design original, difficult problems that reflect real physics workflows
Excellent attention to detail and technical writing skills in English
Nice to have
Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)
Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields
Experience evaluating model reasoning, benchmarking, or designing technical assessments