Physics Expert Python Research Experience

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people discover cutting-edge projects, build their experience, and apply in minutes. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts create examples, review model outputs, and provide high-quality feedback so AI systems can produce more accurate and useful results. This work is remote and often flexible, giving specialists a way to contribute directly to advanced AI development.

• Work on text generation, evaluation and rating, and fine-tuning data.
• Use your physics expertise to shape how AI handles challenging technical problems.
• Contribute remotely with a computer, Python skills, and an internet connection.

The Role

OpenTrain AI is seeking an intermediate Physics Expert with Python and research experience to design and verify challenging, research-style computational physics problems. You will develop original problems representative of real research workflows and create clear, fully verified, reproducible solutions using scientific Python libraries.

The work may cover mechanics, electromagnetism, thermodynamics, and quantum mechanics. Projects are part-time and project-based, with compensation varying by scope and complexity. The expected time commitment is 20 or more hours per week.

• Compensation ranges from $15 to $60 USD per hour, depending on project scope and complexity.
• Contractor and part-time engagement.
• The role is open globally, subject to the restricted locations listed below.

What You’ll Do

You will combine physics knowledge, computational reasoning, and careful review to produce training content that can be reproduced and evaluated consistently. The role includes both original problem development and hands-on text annotation or review.

• Design original, challenging computational physics problems in a research style.
• Create problems involving mechanics, electromagnetism, thermodynamics, and quantum mechanics.
• Represent realistic research workflows through computational problem design.
• Write clear problem statements for technical audiences.
• Develop fully verified and reproducible solutions.
• Use NumPy, SciPy, SymPy, and other scientific Python libraries.
• Apply numerical simulation methods such as integration and Monte Carlo techniques.
• Annotate or review text according to detailed guidelines.
• Respond to quality assurance feedback and maintain consistent standards.
• Evaluate and refine content for AI training and fine-tuning.

Requirements

This role requires substantial physics and programming capability. Candidates should have at least two years of applied, research, or teaching experience, along with a proven ability to work with research-style computational physics problems.

Strong professional written and spoken English is required. Your CV must be in English, indicate your level of English proficiency, and include an email address and phone number.

• Bachelor’s degree or higher in Physics or a related field.
• At least 2 years of applied, research, or teaching experience.
• Advanced Python skills, including NumPy, SciPy, and SymPy or comparable tools.
• Experience with numerical simulation, including integration and Monte Carlo methods.
• Familiarity with research-style computational physics problems.
• Hands-on text annotation or review experience.
• Ability to follow detailed annotation guidelines and QA feedback.
• Professional written English communication skills.
• A CV written in English with English proficiency, email address, and phone number.

Restricted Locations

Although the project is open globally, acquisition is restricted in the following locations. Applicants must be outside these locations to be considered.

• Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, and Kenya.
• 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, and 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
• Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha.
• Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, and Mayotte.

How to Apply

Create a free OpenTrain account and apply through OpenTrain AI. Include an English-language CV with your English proficiency level, email address, and phone number so your background can be reviewed for suitable project work.

• Highlight your physics research, applied, or teaching experience.
• Showcase advanced Python and scientific computing experience.
• Describe relevant numerical simulation and annotation or review work.
• Confirm that you can commit to 20 or more hours per week.