Computational Scientist - AI Trainer

About the role

This position is for quantitative specialists who want to contribute to AI training. You will collaborate with advanced AI systems by checking AI-produced quantitative work, working through technical challenges, and sharing feedback that improves how the models handle data, modeling, and scientific reasoning. The role is well suited to people from fields such as data science, astrophysics, economics, biostatistics, operations research, and other disciplines that rely on rigorous quantitative thinking. Some people may do this alongside another full-time job, while others may treat it as their main work.

How the process works

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

Contracting benefits

• You can decide which projects to accept and when to work on them.
• The work is flexible and can be completed on your own computer from home.
• Pay is hourly, with rates starting at USD 50 to USD 100+ per hour on eligible projects, and some projects may include bonus pay.

Responsibilities

Your work will focus on assessing and improving AI output in quantitative settings.

• Review AI-generated quantitative analysis for correctness and practical validity, including statistics, predictive modeling, scientific reasoning, and data-backed conclusions.
• Create and solve quantitative tasks used to train and evaluate AI systems across forecasting, experimental design, optimization, and statistical inference.
• Prepare concise technical write-ups and maintain well-structured 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 related area.
• Some coding ability is required, including comfort with writing and checking analytical code from start to finish.
• Hands-on experience with statistical techniques, predictive modeling, and experimental 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 skills.
• A bachelor's degree in a quantitative subject is preferred, such as Statistics, Computer Science, Mathematics, or Engineering; a master's degree or PhD is an advantage.
• Additional proof of expertise is helpful, such as a Kaggle competition ranking or AWS/GCP machine learning certification.

Additional information

This is an independent contractor arrangement. Payment is issued through PayPal, and you will not be asked to pay any money. PayPal will manage any conversion from USD to your local currency. Only candidates based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.