Senior Data Scientist - AI Trainer role at DataAnnotation is a remote, contract position based in Montana, with an hourly rate between $50 and $100.

Evaluate AI generated quantitative work for technical accuracy and real world validity across statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

3+ 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 related fields.
Some coding experience required, comfortable writing and reviewing analytical code end to end.
Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time series forecasting).
Fluency in English with strong writing skills (native or bilingual level).
Bachelor’s degree in a quantitative field preferred; advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., 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 times, using your own computer from home.
Competitive pay: hourly rate of $50 to $100, with potential bonus rates on some projects.
Impact: contribute to shaping AI systems designed for data and analytics reasoning.

Senior Data Scientist - AI Trainer

Job Description