Operations Research Analyst - AI Trainer

About the role

This opportunity is for quantitative professionals who want to help improve AI systems. You will partner with advanced models on work such as checking AI-produced quantitative analysis, tackling technical problems, and sharing feedback that helps refine how these systems handle data, models, and scientific questions. The role is well suited to people from operations research, data science, astrophysics, economics, biostatistics, and other data-heavy disciplines. Some contributors do this work alongside another full-time job, while others make it their main work.

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

Advantages of contracting

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

Responsibilities

• Review AI-generated quantitative outputs for correctness, including statistical work, predictive models, scientific reasoning, and data-based conclusions.
• Create and solve quantitative tasks used to train and evaluate AI systems, covering forecasting, experiment analysis, optimization, and statistical inference.
• Produce clear technical write-ups 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 area.
• Basic coding ability is required, along with the ability to write and review analytical code from start to finish.
• Hands-on exposure to statistical methods, 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 solid writing skills.
• A bachelor’s degree in a quantitative subject is preferred, such as Statistics, Computer Science, Mathematics, or Engineering; a master’s degree or PhD is an advantage.
• Additional proof of expertise is a plus, such as a Kaggle ranking, AWS/GCP machine learning certification, or similar credentials.

Payment and contract details

Payments are sent through PayPal, and any currency conversion from USD is handled by PayPal. You will not be asked to pay any fee 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.