Forecasting Analyst - AI Trainer

About the Role

This position is intended for experienced quantitative specialists who want to contribute to AI model training. You will work with advanced AI systems on assignments such as reviewing machine-generated quantitative analysis, tackling technical challenges, and sharing feedback that helps improve how models handle data, modeling, and scientific reasoning. The work is suitable for professionals from fields like data science, astrophysics, economics, biostatistics, operations research, and other quantitative disciplines. Some contributors do this alongside a separate full-time job, while others make it their main focus.

How the Process Works

After creating an account, you will complete a brief assessment that acts as the screening step. If successful, you will receive confirmation by email and paid assignments will become accessible through the platform.

Contract Benefits

• You can decide which projects to accept and when to work on them.
• The schedule is self-managed, and the work can be done on your own computer from home.
• Pay is hourly, beginning at USD 50 to USD 100+ per hour, and some projects may offer bonus rates.

Responsibilities

• Check AI-produced quantitative outputs for correctness, including statistical work, predictive models, scientific logic, and data-based conclusions.
• Create and solve quantitative tasks used to train and evaluate AI systems, including forecasting, experimental design, optimization, and statistical inference.
• Produce concise technical write-ups and maintain well-structured analytical code.
• Share feedback that helps improve future AI models focused on 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.
• Working knowledge of coding, including the ability to write and review analytical code from start to finish.
• Experience with statistical techniques, predictive modeling, and experimental methods such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English fluency at a 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 advantage.
• Additional proof of expertise, such as a strong Kaggle ranking or AWS/GCP machine learning certification, is considered a plus.

Additional Information

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