Principal Data Scientist - AI Trainer evaluates and helps train AI models focused on quantitative reasoning.

Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity
Develop and solve quantitative problems for training and benchmarking AI systems across areas such as:
- Forecasting
- Experimental analysis
- Optimization
- Statistical inference
Produce clear technical explanations and well-documented analytical code
Deliver feedback that directly influences the next generation of AI models built for quantitative reasoning

2+ years of hands-on experience in a quantitative role or research environment (examples include data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or adjacent fields)
Coding experience required, with comfort writing and reviewing analytical code end-to-end
Practical experience with:
- Statistical methods
- Predictive modeling
- Experiment design (including A/B testing and hypothesis testing)
- Regression and classification
- Time-series forecasting
English fluency (native or bilingual) and strong writing skills
Bachelor’s degree in a quantitative field is preferred (such as Statistics, Computer Science, Mathematics, Engineering, or similar); master’s or PhD is a plus
Relevant credentials are a plus, for example: Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects you take on and when you work
Competitive pay: projects are paid hourly, up to $60 USD per hour
Higher-paying projects available with strong performance
Impact: help shape AI systems built to reason about data and analytics

Principal Data Scientist - AI Trainer

Job Description