Analytics Engineer - AI Trainer

About the role

This position is for quantitative professionals who can help improve AI systems through high-quality training work. You will collaborate with advanced AI models on assignments that involve reviewing AI-produced quantitative analysis, solving technical challenges, and giving feedback that helps refine how these systems handle data, modeling, and scientific reasoning.

The work is well suited to people from fields such as data science, astrophysics, economics, biostatistics, operations research, and other numerically focused disciplines. If you are comfortable thinking deeply about data, models, and evidence, your background may be a strong fit. Some contributors do this alongside another full-time job, while others focus on it as their main work.

How the process works

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

Contract advantages

• You can select the projects you want to take on and decide when to work on them.
• The work can be done on your own schedule using your personal computer from home.
• Compensation starts at USD 50 to USD 100+ per hour, and some projects also offer bonus pay.

Responsibilities

• Review AI-generated quantitative outputs for accuracy, including statistical analysis, predictive modeling, scientific reasoning, and data-backed conclusions.
• Create and solve quantitative problems for AI training and benchmarking, covering forecasting, experimental analysis, optimization, and statistical inference.
• Develop clear technical write-ups and maintain well-structured analytical code.
• Share feedback that helps improve the next generation of AI models for quantitative problem-solving.

Requirements

• 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 and confidence in writing and reviewing analytical code from start to finish.
• Hands-on familiarity with statistical techniques, predictive modeling, and experiment design, including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English communication skills at a native or bilingual level, especially in writing.
• A bachelor's degree in a quantitative discipline is preferred, such as Statistics, Computer Science, Mathematics, or Engineering; a master's degree or PhD is considered an advantage.
• Additional proof of expertise, such as Kaggle rankings, AWS/GCP ML certifications, or similar credentials, is a plus.

Eligibility

Applications are open only to candidates based in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand. This is an independent contractor opportunity.

Payment and other details

Compensation is handled through PayPal, and currency conversion from USD is managed by PayPal if needed. No payment will ever be requested from applicants.

The role is offered as contract work, and the contractor can choose assignments and working hours independently.

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