Growth Analyst - AI Trainer

About the role

This opportunity is for experienced quantitative professionals who want to help improve AI models. You will collaborate with advanced AI systems on work such as reviewing AI-produced quantitative analysis, solving technical challenges, and sharing feedback that influences how these models handle data, modeling, and scientific reasoning.

The role is suited to people from fields like data science, astrophysics, economics, biostatistics, operations research, and other quantitative disciplines. If your work involves structured thinking, data interpretation, and model-based problem solving, your background is relevant here. Some contributors do this alongside another full-time job, while others make it their main focus.

After creating an account, you will complete a brief assessment that functions as the selection step. If successful, you will receive a confirmation email and paid work will be made available through the platform.

Contracting advantages

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

Responsibilities

• Review AI-generated quantitative outputs for accuracy and for whether they make sense in real-world settings, including statistical analysis, predictive modeling, scientific reasoning, and data-backed insights.
• Create and solve quantitative tasks used to train and evaluate AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
• Produce concise technical explanations and maintain well-structured analytical code.
• Share feedback that helps improve the next generation of AI models designed 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.
• Working coding knowledge, with the ability to write and review analytical code from start to finish.
• Hands-on exposure to statistical techniques, predictive modeling, and experiment 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 field; a master’s degree or PhD is an added advantage.
• Extra credentials are welcome, such as Kaggle competition rankings, AWS/GCP ML certifications, or comparable evidence of expertise.

Additional information

Payment is processed through PayPal. You will not be asked to pay any money at any stage, and PayPal will handle currency conversion from USD if needed. Only candidates located in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.

This is an independent contractor engagement.