# Physics Expert - AI Trainer (France) at Anyone Ai

> Remote · France · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Aanyone-ai%3A9d66471e-a0c7-4e5d-b6aa-2b26a12018ea (read 2026-11-12).

## Facts (observed)

- Company: [Anyone Ai](https://alderhq.app/companies/anyone-ai)
- Location text: France
- Where it can be done from (inferred): Remote · France (evidence: "Location: France")
- Posted: 2026-06-18 (147 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/anyone-ai/9d66471e-a0c7-4e5d-b6aa-2b26a12018ea
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: $83k–$83k per year (from the listing's pay field)
- Market band for similar posted roles (France, n 32): p25 $44k, median $83k, p75 $111k

## Description (the employer's text)

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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aanyone-ai%3A9d66471e-a0c7-4e5d-b6aa-2b26a12018ea and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.