Health Data Analyst - AI Trainer

DataAnnotation is seeking a Health Data Analyst - AI Trainer to help advance AI systems that interpret health data and produce reliable quantitative insights. This remote role, based in Louisville, Kentucky, centers on evaluating AI-generated quantitative analyses, designing training and benchmarking tasks, and delivering precise feedback to improve AI models' quantitative reasoning.

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

Requirements

• At least 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 related fields.
• Some coding experience with comfort in writing and reviewing analytical code end to end.
• Practical experience with statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Fluency in English with strong writing skills.
• Bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
• Relevant credentials are advantageous (for example Kaggle competition rankings, AWS or GCP ML certifications, or similar demonstrated expertise).

Benefits

• Fully remote role open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule to choose projects and determine your workload.
• Competitive hourly pay up to $60; typical range is $40-$60 per hour, with higher-paying projects available for strong performers.
• Opportunity to contribute to AI systems designed to reason about data and analytics.

Payment and eligibility notes: Payments are processed via PayPal. We will never ask for money from applicants. This job is available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.