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Physics · Remote

Physics AI Problem Contributor

A Physics AI Problem Contributor helps train and evaluate AI by applying expert physics knowledge to structured data, model outputs and quality review workflows.

RemoteRemote · contract, project or permanentEnglish
Role overview

Create scientifically rigorous problems, demonstrations and explanations that help models learn physical reasoning rather than memorize answers.

Key responsibilities

  • Author tasks in mechanics, E&M, thermodynamics, optics and modern physics.
  • Supply assumptions, units and worked solutions.
  • Create adversarial distractors and realistic boundary conditions.
  • Rate difficulty and prerequisite knowledge.

What we look for

  • Physics degree or engineering equivalent; teaching, research or technical writing experience valuable.

How success is measured

Scientific validity, task acceptance, difficulty calibration.

How this works on Jwuma

Candidate profile → skills evidence → domain assessment → calibration task → qualification → project matching → production → peer review → expert QA → performance feedback and progression. Corpshore AI service alignment Applicable across annotation and labeling, RLHF and preference data, model evaluation and red-teaming, multimodal datasets and specialized AI data operations, depending on project scope.

Common questions

What does a Physics AI Problem Contributor do?

A Physics AI Problem Contributor helps train and evaluate AI by applying expert physics knowledge to structured data, model outputs and quality review workflows.

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