Plasma & Fusion Physics Expert — Problem Author & Reviewer

About OpenTrain

OpenTrain AI is the leading platform for people building careers in AI training and data labeling. We hire and contract domain experts to create, review, and evaluate the high-quality training data that helps modern AI systems learn.

Working with OpenTrain means joining a fast-growing industry where contributors shape how state-of-the-art models reason and respond, while building a durable freelance career you control.

Why AI Training Work Matters

AI training (data labeling and human feedback) is the human foundation of advanced AI systems. Experts create the examples and judgments models learn from — from technical problem writing to careful evaluation of model reasoning.

This work is remote-friendly, flexible, and accessible: projects range from entry-level tasks to specialist roles that reward deep subject-matter expertise and rigorous scientific judgment.

The Role

OpenTrain AI is hiring plasma and fusion physics experts to author and review expert-level problems and to evaluate AI-generated scientific answers. The focus areas include magnetic-confinement fusion, tokamak and stellarator design, magnetohydrodynamics (MHD), plasma transport, and gyrokinetics.

You will create challenging expert-level prompts/questions, review peer-authored problems for clarity and correctness, and judge AI outputs with Accept, Revise, or Reject verdicts supported by concise, rigorous written rationale.

• Data types: Text — problem prompts, model answers, and evaluation rationales.
• Labeling tasks: Text generation, question answering, and evaluation/rating of model outputs.

What You’ll Do

• Author challenging expert-level problems in plasma physics and fusion that test deep scientific reasoning.
• Review peer-written problems for clarity, genuine difficulty, and ground-truth correctness.
• Evaluate AI model outputs and render Accept, Revise, or Reject judgments with detailed written explanations.
• Write concise, rigorous explanations that justify your evaluations and guide model improvement.
• Apply hands-on subject-matter expertise in magnetic-confinement fusion, tokamaks, stellarators, MHD, plasma transport, or gyrokinetic simulation.

Requirements

You must have advanced technical training and practical experience in plasma and fusion science and be comfortable assessing high-level scientific reasoning and correctness.

• PhD or equivalent research experience in plasma physics, fusion energy, nuclear engineering, or a closely related field (required).
• Hands-on experience with magnetic-confinement fusion, tokamak or stellarator design, MHD, plasma transport, or gyrokinetic simulation.
• Proven ability to author rigorous, expert-level scientific problems.
• Skill evaluating technical correctness and reasoning quality in advanced scientific content.
• Strong scientific writing, attention to detail, and ability to produce clear, defensible evaluation rationales.

Who Should Apply

This contract is designed for active researchers, postdocs, senior scientists, or engineers with expert-level knowledge of plasma physics and fusion who want to contribute to cutting-edge AI training.

The role is fully remote and open worldwide; applicants must be fluent in English and able to commit to at least 20 hours per week.

• Experience teaching, publishing, or creating technical problem sets is a plus but not required beyond the stated qualifications.
• Ideal for domain experts who enjoy clear, rigorous scientific writing and mentoring model behavior through high-quality examples and critiques.

How It Works & Compensation

This is a contract, part-time role with OpenTrain AI. Work is remote and flexible but requires a minimum commitment of 20+ hours per week.

Compensation is hourly at USD 75 per hour. Tasks are paid per hour for time spent authoring, reviewing, and evaluating text-based problems and model outputs.

• Employment types: Contractor, Part-time.
• Languages: English required.
• Labeling focus: TEXT generation, QUESTION_ANSWERING, and EVALUATION_RATING.