Staff Data Scientist - AI Trainer

The Staff Data Scientist - AI Trainer role at DataAnnotation is a fully remote position centered on assessing AI-generated quantitative work and designing training problems to benchmark AI systems. The role also involves writing technical explanations and providing feedback to help shape future AI models for quantitative reasoning. Location: Overland Park, KS (remote).

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, spanning 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.

Requirements

• 2+ years 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, comfortable writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
• Fluent English with strong writing skills (native or bilingual).
• Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
• Relevant credentials are a plus (for example, Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Benefits

• Fully remote work enabling collaboration from the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule to select projects and determine when you work.
• Compensation is hourly, in the range of $50 to $100 per hour, with opportunities for higher-paying projects based on performance.
• Opportunity to influence the development of AI systems designed to reason about data and analytics.

Note

• Payment is made via PayPal. We will never ask for money from you.
• This position is available to candidates in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.