Physics Content Review Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, build a professional profile, and apply to meaningful AI work in minutes. Creating an OpenTrain account is free.

OpenTrain AI is hiring for this remote, part-time contractor opportunity. You will contribute specialized physics expertise to work that helps improve how AI systems understand scientific concepts and reasoning.

About AI Training Work

AI training is the human side of building artificial intelligence. Subject-matter experts prepare, review, and evaluate examples so modern AI models can produce more accurate, clear, and useful responses.

In this role, your physics knowledge will help assess scientific content, strengthen training data, and improve model comprehension of technical concepts. The work is remote and designed for flexible participation alongside other commitments.

The Role

OpenTrain is seeking a Physics Content Review Specialist for remote contractor work focused on AI training in the sciences. You will evaluate and annotate scientific data, equations, and experimental findings across physics domains.

You will also review physics problem sets and research summaries, provide expert feedback on accuracy and clarity, and author or edit detailed reports, analytical write-ups, and experimental descriptions. The role includes identifying gaps in data quality or coverage and recommending improvements for stronger model development.

  • Employment type: Part-time contractor
  • Time commitment: 20+ hours per week
  • Pay: $20-$50 per hour
  • Work arrangement: Remote and worldwide
  • Primary language: English
  • Work type: Document-based classification, text generation, and evaluation or rating

What You'll Do

You will apply rigorous physics knowledge and careful written judgment to scientific content used in AI training. Clear communication and precise review are central to the work.

  • Evaluate scientific data, equations, and experimental findings across physics domains
  • Create and review physics problem sets, research summaries, and technical explanations
  • Provide expert feedback on the accuracy and clarity of physics content
  • Author or edit detailed reports, analytical write-ups, and experimental descriptions
  • Identify gaps in data quality or coverage and suggest improvements
  • Collaborate asynchronously with project managers and subject-matter experts to meet milestones

Requirements

This opportunity is listed as entry level, but it requires a strong academic and technical foundation in physics. Candidates should be able to evaluate scientific explanations carefully and communicate complex ideas accurately in English.

  • BSc, MSc, or PhD in Physics or a closely related discipline
  • Strong command of classical mechanics, electromagnetism, thermodynamics, quantum mechanics, and modern physics
  • Experience authoring or reviewing research papers, experimental reports, or technical write-ups
  • Experience with data analysis, experimental design, or computational modeling in physics
  • Ability to evaluate scientific explanations for accuracy and clarity
  • Strong written and verbal communication skills with meticulous attention to detail
  • Ability to simplify complex concepts for a range of audiences
  • Comfort working remotely and collaborating asynchronously
  • English-language writing and communication skills

Who Should Apply

This role may suit physics graduates, researchers, technical writers, and other subject-matter experts who enjoy explaining scientific ideas and reviewing technical material. It is a strong fit for someone who can move between detailed analysis and accessible communication while working independently in a remote environment.

  • Physics professionals with experience writing research or experimental documentation
  • Candidates interested in applying scientific expertise to cutting-edge AI development
  • Detail-oriented reviewers who can identify inaccuracies, unclear explanations, and data gaps
  • Independent contributors comfortable managing work and communicating asynchronously

How to Apply Through OpenTrain

Create a free OpenTrain account, build your profile with your physics education and experience, and apply in minutes. OpenTrain helps contributors discover and grow in the expanding field of AI training and data labeling.

  • Highlight your physics degree or related academic background
  • Describe relevant research, technical writing, data analysis, or modeling experience
  • Showcase your ability to review and explain complex scientific material
  • Confirm your availability for 20+ hours per week and remote asynchronous collaboration
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