Quantitative AI Trainer

About the Role

This position is for experienced quantitative specialists who want to contribute to the training of AI models. You will collaborate with advanced AI systems on assignments such as checking AI-produced quantitative analysis, solving technical challenges, and supplying feedback that helps improve how these models handle data, mathematical reasoning, and scientific questions.

The work is suitable for people with backgrounds in areas such as data science, astrophysics, economics, biostatistics, operations research, or other quantitative disciplines. If you are comfortable reasoning carefully about data and models, your experience can translate well to this role. Some contributors use this work alongside another full-time job, while others focus on it as their main activity.

After creating an account, you will complete a short assessment that acts as the screening step. Candidates who pass will receive a confirmation email, and paid tasks will then be made available through the platform.

Contract Benefits

• You can decide which projects to take on and choose your own working times.
• The work can be done on your personal computer from home.
• Compensation is hourly, beginning at USD 50 to USD 100+ per hour, and some projects may include bonus pay.

Responsibilities

• Review AI-created quantitative outputs for statistical soundness, predictive performance, scientific logic, and practical accuracy.
• Create and solve quantitative tasks that help train and evaluate AI systems in areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce concise technical write-ups and maintain well-structured analytical code.
• Share feedback that helps improve the reasoning abilities of future AI models.

Qualifications

• At least 2 years of practical experience in a quantitative role or research setting, including fields such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related areas.
• Basic coding ability and comfort with writing and checking 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 fluency at native or bilingual level, along with excellent writing skills.
• A bachelor’s degree in a quantitative subject such as Statistics, Computer Science, Mathematics, or Engineering is preferred; a master’s degree or PhD would be an advantage.
• Additional proof of expertise, such as a strong Kaggle ranking or AWS/GCP machine learning certifications, is a plus.

Additional Information

This is an independent contractor arrangement. Payment is issued through PayPal, and PayPal will handle any USD currency conversion. Applicants must be based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand. The employer will never request payment from candidates.