Computational Physicist - AI Trainer

About the role

This role is for experienced quantitative specialists who want to contribute to AI training. You will work with advanced AI systems on tasks such as reviewing AI-produced quantitative analyses, solving technical challenges, and giving feedback that helps improve how models reason about data, mathematical models, and scientific questions.

The work suits people from backgrounds such as data science, astrophysics, economics, biostatistics, operations research, and related quantitative disciplines. If you are comfortable applying rigorous thinking to data, models, and scientific problems, your experience can be a strong fit. Some people do this alongside a full-time job, while others use it as their main work.

How selection works

After creating an account, you will complete a short assessment that acts as the screening step. If you are successful, you will receive confirmation by email and paid tasks will then be available on the platform.

Contract advantages

• You can decide which projects to take and when to work on them.
• You can complete tasks on your own schedule, from your own computer, at home.
• Hourly pay starts at USD 50 to USD 100+ per hour, and some projects include bonus rates.

Responsibilities

• Review AI-generated quantitative work for accuracy and practical validity, including statistical analysis, predictive modeling, scientific reasoning, and data-based conclusions.
• Create and solve quantitative problems used to train and evaluate AI systems across forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical write-ups and maintain well-organized analytical code.
• Share feedback that helps improve the next generation of AI models for quantitative reasoning.

Qualifications

• At least 2 years of practical experience in a quantitative role or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related area.
• Some coding ability is required, including confidence in writing and reviewing analytical code from start to finish.
• Hands-on familiarity with statistical techniques, predictive modeling, and experiment design, such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English fluency at native or bilingual level, along with excellent writing ability.
• A bachelor’s degree in a quantitative subject such as Statistics, Computer Science, Mathematics, Engineering, or a similar field is preferred; a master’s degree or PhD is an added advantage.
• Relevant achievements or credentials, such as a Kaggle competition ranking or AWS/GCP machine learning certification, are considered a plus.

Additional information

Payment is processed through PayPal. You will not be asked to pay any fee. PayPal will manage any currency conversion from USD. Only candidates from the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand will be considered.

This is an independent contractor engagement.