Supply Chain Analyst - AI Trainer

About the role

This opportunity is for experienced quantitative professionals who can help improve AI systems. The work involves reviewing AI-produced quantitative analysis, tackling technical challenges, and sharing feedback that improves how models handle data, mathematical reasoning, and scientific problem-solving.

People from a wide range of quantitative backgrounds can fit this role, including data science, astrophysics, economics, biostatistics, operations research, statistics, finance, physics, biology, epidemiology, or related disciplines. If you are comfortable thinking deeply about data, models, and analytical methods, your experience is relevant here. Some contributors use this as a side engagement alongside full-time work, while others make it their main focus.

How the process works

After creating an account, you will complete a short assessment that acts as the screening step. If successful, you will receive a confirmation email and paid assignments will become available on the platform.

Contract advantages

• You can decide which projects to take on and when to work on them.
• You can work from your own computer on a schedule that suits you.
• Assignments are paid on an hourly basis, with starting rates of $50 to $100+ USD per hour on many projects, and some tasks may include bonus pay.

Responsibilities

• Check AI-generated quantitative outputs for correctness, including statistical work, predictive modeling, scientific reasoning, and data-based conclusions.
• Create and solve quantitative problems used to train and evaluate AI models across 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 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 similar area.
• Basic coding ability, including confidence in writing and reviewing analytical code from start to finish.
• 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 native or bilingual level, along with excellent writing ability.
• A bachelor’s degree in a quantitative subject such as Statistics, Computer Science, Mathematics, Engineering, or a comparable field is preferred; a master’s degree or PhD is an added advantage.
• Additional proof of expertise, such as a Kaggle competition ranking, AWS/GCP machine learning certifications, or similar credentials, is considered a plus.

Payment and contractor terms

Payments are issued through PayPal, and the platform will handle any USD currency conversion. You will never be asked to pay anything to participate. This is an independent contractor arrangement.

Location and eligibility

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