Marketing Data Scientist - AI Trainer

DataAnnotation is seeking a Marketing Data Scientist - AI Trainer for a contract role based in St. Louis, MO with remote work options. The position offers flexible scheduling and the opportunity to help train AI models that reason about data and analytics. You will evaluate AI-generated quantitative work, provide actionable feedback, and influence the next generation of quantitative AI systems.

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: select projects and set your own hours, using your own computer from home.
• Competitive pay: hourly rates from USD 50 to 100, with bonus rates available on some projects.
• Impact: help shape AI systems designed to reason about data and analytics.

Responsibilities

• 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.
• Produce clear technical explanations and well-documented analytical code.
• Provide feedback that directly informs the next generation of AI models built for quantitative reasoning.

Requirements

• 3+ 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 required, with comfort 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).
• Fluent English with strong writing skills.
• Bachelor's degree in a quantitative field preferred; Master’s or PhD is a plus.
• Relevant credentials are a plus (e.g., Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).