Bioinformatician - AI Trainer

About the Role

This position is for quantitative specialists who want to help improve AI systems. You will review AI-produced quantitative outputs, tackle technical challenge tasks, and share feedback that improves how models approach data, modelling, and scientific reasoning. The work suits people from fields such as data science, astrophysics, economics, biostatistics, operations research, and other numerically driven disciplines. Some people do this alongside another full-time job, while others treat it as their main work.

To begin, you will create an account and complete a short assessment that functions as the selection step. If successful, you will get a confirmation email and access to paid work on the platform.

Advantages of Contracting

• You can decide which projects to take on and when to work.
• The role is flexible, allowing you to work on your own schedule using your own computer from home.
• Compensation is hourly, starting at USD 50 to USD 100+ per hour, with bonus pay available on certain projects.

Responsibilities

• Assess AI-generated quantitative outputs for correctness and practical validity, including statistics, modelling, scientific reasoning, and data-based conclusions.
• Create and solve quantitative tasks used to train and test AI systems across forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical write-ups and maintain well-structured analytical code.
• Share feedback that helps refine the next generation of AI models focused on quantitative reasoning.

Qualifications

• At least 2 years of practical experience in a quantitative job or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related area.
• Working coding ability, including confidence in writing and reviewing analytical code from start to finish.
• Hands-on exposure to statistical techniques, predictive modelling, and experiment design such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English fluency at native or bilingual level, along with excellent writing skills.
• A bachelor’s degree in a quantitative discipline is preferred, such as Statistics, Computer Science, Mathematics, Engineering, or a similar subject; a master’s degree or PhD is an added advantage.
• Extra credentials are beneficial, such as a Kaggle competition ranking, AWS/GCP machine learning certifications, or similar proof of expertise.

Additional Information

Payment is processed through PayPal, and currency conversion from USD will be handled by PayPal. Candidates will never be asked to pay any money. Only applicants located in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand will be considered. This is an independent contractor arrangement.