Principal Data Scientist - AI Trainer

Role overview

This opportunity is for quantitative specialists who want to help improve AI systems. The work involves assessing AI-produced quantitative reasoning, tackling technical challenges, and sharing feedback that helps refine how models approach data, statistical methods, and scientific questions.

Applicants may come from fields such as data science, astrophysics, economics, biostatistics, operations research, or other numerically focused disciplines. The position can suit people who want to add this work alongside another full-time job as well as those looking to make it their main focus.

To begin, you will complete a short assessment after creating an account. This acts as the screening step. Successful candidates will receive confirmation by email, after which paid work will be available through the platform.

What contracting with us looks like

• You can select the projects you want to take on and decide when to work on them.
• The work is completed on your own computer and on your own timetable.
• Hourly pay starts at USD 50 to USD 100+ per hour, and some projects may include bonus pay.

Responsibilities

• Review AI-generated quantitative outputs for correctness, including statistical analysis, predictive modeling, scientific logic, and data-based conclusions.
• Create and solve quantitative tasks used to train and evaluate AI systems, covering topics such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce concise technical write-ups and maintain clearly documented analytical code.
• Share feedback that helps improve future AI models designed for 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 similar area.
• Some programming experience is needed, along with the ability to write and review 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 subject such as Statistics, Computer Science, Mathematics, Engineering, or a comparable field is preferred; a master's degree or PhD is advantageous.
• Additional proof of expertise, such as a Kaggle competition ranking or AWS/GCP machine learning certification, is considered a plus.

Payment and contracting details

Compensation is processed through PayPal. No payment will ever be requested from applicants, and PayPal will manage any currency conversion from USD. This role is offered on an independent contractor basis.

Location and applicant eligibility

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