Pricing Analyst - AI Trainer

About the role

This position is for experienced quantitative professionals who want to contribute to AI training. You will work directly with advanced AI systems on tasks such as reviewing model-generated quantitative analysis, solving technical challenges, and offering feedback that improves how the models handle data, modeling, and scientific reasoning.

Candidates from quantitative backgrounds including data science, astrophysics, economics, biostatistics, operations research, and similar fields are encouraged to apply. The work can suit people who want to do this alongside another full-time job as well as those who want it to be their main focus.

To begin, you will complete a short assessment after creating an account. This acts as the screening step. If successful, you will receive confirmation by email and paid tasks will become available on the platform.

Why contract with us

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

Responsibilities

• Review AI-produced quantitative outputs for accuracy and practical soundness, including statistical analysis, predictive modeling, scientific reasoning, and data-based insights.
• Create and solve quantitative problems that help train and benchmark AI systems, covering areas such as forecasting, experiments, optimization, and statistical inference.
• Draft precise technical explanations 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 discipline.
• Some programming 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 fluency at native or bilingual level, plus excellent writing ability.
• A bachelor’s degree in a quantitative subject is preferred, such as Statistics, Computer Science, Mathematics, Engineering, or a similar area; a master’s degree or PhD is an advantage.
• Additional proof of expertise is a plus, such as Kaggle rankings or AWS/GCP machine learning certifications.

Additional information

Payments are issued through PayPal, and no payment of any kind will ever be requested from applicants. PayPal will handle any currency conversion from USD.

Only candidates based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.

This role is offered on an independent contractor basis.

Note: The listing indicates an hourly contract rate starting at USD 50 to USD 100+ per hour, with some projects offering bonus rates.

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