Computational Physics Problem Designer (Python, Research)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people who want flexible, remote work with projects that teach and evaluate AI systems across industries.

• Work remotely on projects that directly shape how state-of-the-art AI behaves.
• Flexible, project-based roles that fit around other commitments.

About AI training and this work

AI training (data annotation, human feedback, and data generation) is the human side of building models: people prepare, write, and verify examples that models learn from. This role focuses on producing high-quality text-based problem statements and verified solutions used for model fine-tuning, evaluation, and prompt/response datasets.

Contributors often work part-time, choose their hours, and bring domain expertise (here: computational physics) to create realistic, research-style examples that improve model performance.

• Project outputs are text-based and used for text generation, evaluation rating, and fine-tuning.
• Work emphasizes reproducibility, clear documentation, and adherence to annotation guidelines.

The role

You will design original, research-style computational physics problems (mechanics, electromagnetism, thermodynamics, quantum mechanics, etc.), write clear problem statements, and deliver fully verified, reproducible Python solutions using scientific libraries. Projects are part-time and contract-based with variable compensation depending on scope and complexity.

• Employment type: Contractor, Part-time
• Time requirement: 20+ hours per week
• Data type: Text (problem statements and solution write-ups)
• (project-specific tooling)

What you'll do

Produce original computational physics problems that reflect real research workflows, and implement and verify solutions in Python. Ensure results are reproducible, well-commented, and use standard scientific Python stacks.

Follow detailed annotation and QA guidelines, incorporate reviewer feedback, and iterate until solutions meet quality standards suitable for model training and evaluation.

• Draft clear, self-contained problem statements and deliverables in English.
• Implement numerical solutions using NumPy, SciPy, SymPy, or equivalent libraries.
• Include reproducible code, scripts, and instructions to reproduce results.
• Perform numerical verification: integration, Monte Carlo, simulations, convergence tests, and sanity checks as appropriate.

Requirements

Candidates must meet the stated minimum qualifications and follow the application instructions exactly. CV must be in English and include your English proficiency level, email address, and phone number.

• 2+ years applied, research, or teaching experience in physics or a related field.
• Bachelor’s degree or higher in Physics or a closely related discipline.
• Advanced Python skills with scientific libraries (NumPy, SciPy, SymPy, etc.).
• Experience with numerical simulation methods (numerical integration, Monte Carlo, ODE/PDE solvers, etc.).
• Hands-on text annotation or review experience and familiarity with research-style computational physics problems.
• Ability to follow detailed annotation guidelines and respond to QA feedback.
• Professional written English communication skills (CV in English, state proficiency).
• Provide contact email and phone number in your CV/cover note.

Who should apply

This role is for computational physicists, researchers, or instructors who can translate research workflows into concise problems and reproducible Python solutions. Ideal applicants enjoy clear documentation, reproducible code, and iterative review cycles with QA.

• Researchers or instructors with practical simulation experience.
• Software-savvy physicists comfortable producing production-quality code and write-ups.
• People seeking part-time, remote contract work contributing directly to AI training data.

Compensation, locations, and how to apply

Pay is project-based and presented as an hourly range: $15–$60 USD per hour depending on scope and complexity; posted hourly rate is $60. This is remote work with global hiring, except for the restricted locations listed below.

To apply, submit a CV in English that indicates your English proficiency level and includes an email address and phone number. Include a brief portfolio or links to sample code/notebooks that demonstrate your computational physics work.

• Pay type: Pay per hour (USD). Hourly range: $15–$60/hr.
• Time commitment: 20+ hours per week, part-time contractor engagements.
• Include reproducible code examples or notebooks with your application.

Restricted locations for acquisition

This role is not available for candidates located in certain countries, territories, and regions listed below. Please do not apply if you are currently based in any of these places.

• Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland
• China, Taiwan, Kenya
• States of the USA: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia
• Antarctica; Aruba; Åland Islands; Saint Barthélemy; Bonaire, Sint Eustatius and Saba; Bouvet Island; Cocos (Keeling) Islands; Democratic Republic of the Congo; Cook Islands; Christmas Island; Western Sahara; Falkland Islands (Malvinas); French Guiana; Guadeloupe; South Georgia and the South Sandwich