Physics Research Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a unified portfolio of AI-training work, and grow into durable freelance careers—creating a consistent place to track and apply for physics and other subject-matter projects.

We support specialized, expert-led projects that need real human knowledge to teach AI systems. Creating an OpenTrain account is free.

Why AI training work matters

AI systems learn from curated human examples: people annotate documents, rate answers, correct equations, and provide expert feedback so models reason correctly. This is a fast-growing way to work in tech, letting contributors shape how models understand scientific content.

Typical advantages include fully remote work, flexible part-time hours, and access to cutting-edge projects where your domain expertise directly improves model quality.

The role

We are hiring a Physics Research Reviewer (contractor, part-time) to evaluate and annotate scientific documents, equations, experimental descriptions, and research summaries used to train AI models. The role is remote and open worldwide for English-language work.

Time commitment: 20+ hours per week. Employment type: contractor, part-time. Pay range: $20–$40 USD per hour (hourlyRate listed: $40 USD).

• Data type: DOCUMENT
• Labeling tasks: Classification, Named-Entity/NER classification, Text generation, Evaluation/rating

What you'll do

Contribute expert physics judgment to improve model training data by annotating and reviewing scientific content and delivering clear, actionable feedback.

• Evaluate and annotate scientific data, equations, and experimental findings across physics domains.
• Create and review problem sets, research summaries, technical explanations, reports, and experimental descriptions.
• Provide expert feedback on the accuracy, clarity, and completeness of physics-related content for AI training.
• Author or edit detailed reports, analytical write-ups, or experimental descriptions when requested.
• Identify gaps in data quality or coverage and recommend improvements to support robust model development.
• Collaborate asynchronously with project managers and other subject-matter experts.

Requirements

You must be able to conduct expert-level review and written feedback in English and be comfortable sharing existing expert documents for verification when requested.

• Degree required: BSc, MSc, or PhD in Physics or a closely related discipline.
• Strong grasp of classical mechanics, electromagnetism, thermodynamics, quantum mechanics, and modern physics.
• Experience with data analysis, experimental design, or computational modeling in a physics context.
• Excellent written communication and meticulous attention to detail.
• Familiarity with remote collaborative work.

Helpful background

The project favors contributors with prior experience authoring research papers, experimental reports, or technical write-ups, and those comfortable submitting sample materials for review. Prior AI experience is not required.

• Proven track record of research publications or technical reports in physics is a plus.
• Comfort sharing existing business or expert-level documents for review and approval.

How the work is structured

This is a contractor role paid hourly. Work is delivered asynchronously and coordinated by project managers through the platform or the chosen labeling tool. Assignments will include clear annotation guidelines and evaluation rubrics.

To apply, create an OpenTrain account (free) and submit your profile, CV/degree details, and any sample documents in English that demonstrate your physics expertise.

• Hours: 20+ hours/week, flexible scheduling.
• Payment: hourly, USD, via the platform or the project's chosen payment process.