Help evaluate and train AI systems for quantitative reasoning tasks in a fully remote role.

Review AI-generated quantitative work for technical correctness and real-world validity
Assess outputs spanning statistical analysis, predictive modeling, scientific reasoning, and data-driven insights
Create and solve quantitative problems used to train and benchmark AI systems
Work across problem areas including forecasting, experimental analysis, optimization, and statistical inference
Produce clear technical explanations tied to results and assumptions
Write and maintain well-documented analytical code end-to-end
Provide feedback that informs the next iteration of AI models for quantitative reasoning

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

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

Compensation listed as USD 50 - 100 per hour (hourly work)
Fully remote role in Washington, DC
Payment is made via PayPal
No money will be requested from you
Paid hourly work is made available after passing an assessment
Open to candidates only in the US, Canada, UK, Ireland, Australia, and New Zealand

Machine Learning Engineer - AI Trainer

Job Description