Health Data Analyst - AI Trainer

DataAnnotation is seeking a remote Health Data Analyst - AI Trainer to evaluate AI generated quantitative work and create training tasks that benchmark and improve AI systems focused on quantitative reasoning.

Responsibilities

• Assess AI generated quantitative outputs 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 maintain well documented analytical code.
• Provide actionable feedback that informs the next generation of AI models built for quantitative reasoning.

Requirements

• Minimum of 2 years 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 with the ability to write and review 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.
• Bachelor’s degree in a quantitative field is preferred; a master’s or PhD is a plus.
• Relevant credentials or demonstrated expertise are advantageous (for example, Kaggle rankings, AWS or GCP ML certifications).

Benefits

• Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule to choose projects and set your own working times.
• Competitive hourly pay, up to $60 USD per hour, with opportunities for higher rates based on performance.
• Impactful work that helps shape AI systems designed to reason about data and analytics.

Notes

• Payment is processed via PayPal. The company will not request money from applicants.
• This opportunity is open to candidates in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.