Forecasting Analyst - AI Trainer

About the role

This position is for quantitative specialists who want to help improve AI models through hands-on evaluation and training work. You will collaborate with advanced AI systems on tasks such as reviewing machine-generated quantitative analysis, solving technical problems, and offering feedback that helps refine how these models handle data, modeling, and scientific reasoning.

The work is suited to people from fields like data science, astrophysics, economics, biostatistics, operations research, and other quantitative disciplines. If you are comfortable thinking carefully about data, models, and analytical logic, your background may be a strong fit. Some people take on this work alongside a full-time job, while others use it as their main professional focus.

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 assignments will be made available on the platform.

Advantages of contracting

• You can select the projects you want to work on and decide when to work on them.
• The role offers flexible, self-managed scheduling from your own computer and home.
• Projects are paid on an hourly basis, beginning at USD 50 to USD 100+ per hour, with some work offering bonus rates.

Responsibilities

• Review AI-produced quantitative outputs for technical correctness and whether they make sense in real-world settings, including statistical analysis, predictive modeling, scientific reasoning, and data-backed conclusions.
• Create and solve quantitative tasks used to train and assess AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear 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 confidence in writing and reviewing analytical code end to end.
• Hands-on experience 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 a native or bilingual level, along with excellent written communication.
• 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 considered an advantage.
• Additional proof of expertise is a plus, including a strong Kaggle ranking, AWS or GCP machine learning certifications, or similar credentials.

Additional information

This is an independent contractor role. Payment is issued through PayPal, and no money will ever be requested from applicants. PayPal will manage any currency conversion from USD. Only candidates located in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.