Epidemiologist - AI Trainer

About The Role

We seek experienced professionals with strong quantitative skills from fields such as epidemiology, data science, biostatistics, economics, or related disciplines to collaborate with advanced AI systems. The primary goal is to evaluate AI-generated quantitative analyses, address technical challenges, and provide constructive input that enhances how AI models understand and process scientific and data-driven problems. This opportunity accommodates both those who wish to work part-time alongside other jobs and those who prefer to dedicate themselves full-time to this role.

How to Begin

Applicants must create an account and complete a brief assessment which acts as our interview substitute. Successful candidates receive an email confirmation granting access to paid projects on our platform.

Benefits of Joining

• Autonomy to select projects and work hours based on your preferences
• Remote work using your own device, allowing you to operate from the comfort of your home
• Compensation rates start at $50 to $100 per hour, with possibilities of bonuses on select assignments

Key Responsibilities

• Assess AI-produced quantitative outputs including statistical analyses, predictive models, scientific deductions, and data insights for correctness and applicability.
• Devise and resolve quantitative challenges that assist in training and benchmarking AI capabilities, covering domains such as forecasting, experiments, optimization, and statistical reasoning.
• Document analytical solutions and write technical explanations clearly and thoroughly.
• Contribute feedback that influences the improvement and evolution of new AI models focused on quantitative reasoning.

Candidate Qualifications

• Minimum three years of practical experience in quantitative roles or research areas—examples include data science, economics, finance, physics, biology, epidemiology, or operations research.
• Proficiency in coding with the ability to write and review analytics-focused code comprehensively.
• Hands-on knowledge with statistical techniques, predictive modeling, and experiment frameworks like A/B testing, hypothesis validation, regression, classification, or time series forecasting.
• Strong command of English language, including excellent written communication skills.
• Preferred educational background is a bachelor's degree in quantitative disciplines such as Statistics, Computer Science, Mathematics, or Engineering, with advanced degrees favored.
• Additional certifications or achievements related to machine learning or data science (e.g., Kaggle ranks or AWS/GCP certifications) are advantageous.

Additional Details

This is an independent contractor role. Compensation is processed through PayPal and applicants will not be required to pay any fees. Payments in USD may be converted to your local currency by PayPal. This position is open exclusively to residents of the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.