Geophysicist - AI Trainer

About the role

This position is for experienced quantitative specialists who can contribute to the training of AI systems. The work involves assessing AI-produced analytical output, tackling technical challenges, and giving structured feedback that helps improve how models reason through data, scientific questions, and quantitative problems.

People from a wide range of quantitative backgrounds can fit this role, including data science, astrophysics, economics, biostatistics, operations research, and related disciplines. The work can be done alongside another full-time job by some contributors, while others may choose to make it their main focus.

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

What the contract offers

• You can select the projects you want to take on and decide when you work.
• The work is done on your own schedule, using your own computer, from home.
• Compensation starts at USD 50 to USD 100+ per hour, and some projects include bonus pay.

Responsibilities

• Review AI-generated quantitative outputs for technical correctness and practical validity, including statistics, prediction, scientific reasoning, and data analysis.
• Build and solve quantitative tasks used to train and evaluate AI models across forecasting, experimentation, optimization, and statistical inference.
• Produce concise technical write-ups and maintain well-documented analytical code.
• Share feedback that helps improve AI systems designed for quantitative reasoning.

Qualifications

• At least 2 years of practical experience in a quantitative job or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a similar area.
• Prior coding experience is necessary, along with the ability to write and review analytical code from start to finish.
• Hands-on familiarity with statistical techniques, predictive modeling, and experimental design, including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English ability at native or bilingual level, plus excellent writing skills.
• A bachelor's degree in a quantitative discipline is preferred, such as Statistics, Computer Science, Mathematics, Engineering, or a related field; a master's degree or PhD is an advantage.
• Additional credentials are beneficial, such as a strong Kaggle ranking, AWS/GCP machine learning certifications, or equivalent proof of expertise.

Additional information

Payment is processed through PayPal, and any currency conversion from USD will be handled by PayPal. You will never be asked to pay any money. This role is open only to applicants based in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand. The engagement is offered as an independent contractor arrangement.

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