Health Data Analyst - AI Trainer

DataAnnotation is seeking a Health Data Analyst - AI Trainer to work remotely, evaluating AI-generated quantitative outputs and crafting training tasks that help benchmark AI systems. This role focuses on quantitative reasoning, problem design, and actionable feedback to guide model development, with a flexible schedule to support research and iteration. Based in Schenady, NY, you will collaborate with data science teams to shape AI systems that reason about data and analytics.

Responsibilities

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

Requirements

• Two or more years of hands-on experience in a quantitative role or research setting, 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 knowledge of statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Fluent English with strong writing skills.
• Bachelor’s degree in a quantitative field is preferred; a master’s degree or PhD is a plus.
• Relevant credentials are a plus (for example, Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose projects and set your own workflow.
• Competitive pay: hourly compensation up to $60 USD, with opportunities for higher pay on strong performance.
• Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

Payment is issued via PayPal. We will never ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.