Analytics Engineer - AI Trainer

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a fully remote team. The role centers on evaluating AI-generated quantitative work and designing training problems that benchmark and improve AI systems, with a flexible schedule and a Pittsburgh, PA base. This position blends hands-on analysis with the practical aim of guiding next-generation AI models in quantitative reasoning.

Responsibilities

• Evaluate AI-generated quantitative outputs for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
• Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and maintain well-documented analytical code.
• Provide actionable feedback that informs the development of future AI models focused on quantitative reasoning.

Requirements

• 2+ years of hands-on work 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 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 (native or bilingual level).
• Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's 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 which projects you take on and when you work.
• Competitive pay: hourly rates up to $60 USD, with opportunities for higher-paying projects based on performance.
• Impact: contribute to AI systems designed to reason about data and analytics.

Note

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