Remote contract opportunity to evaluate and help train AI systems focused on quantitative reasoning.

Review AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights
Create and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference
Produce clear technical explanations alongside well-documented analytical code
Deliver targeted 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 a related field
Some coding experience required; able to write and review analytical code end-to-end
Practical experience with statistical methods, predictive modeling, and experiment design, including examples like A/B testing, hypothesis testing, regression, classification, and time-series forecasting
English fluency (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: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose projects and working hours
Competitive pay: paid hourly, up to $60 USD/hour, with potential access to higher-paying projects based on performance
Impact: contribute to AI systems that reason about data and analytics

After creating an account, complete a short assessment (serves as an interview)
If you pass, you’ll receive an email confirmation and paid work will appear on the platform
Payment method: PayPal

Notes

We will never ask you for money
Only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand

Machine Learning Engineer - AI Trainer

Job Description