Analytics Engineer - AI Trainer

DataAnnotation is seeking an Analytics Engineer - AI Trainer to help improve AI models by evaluating AI-generated quantitative analyses for technical accuracy and real-world validity. In this remote role, you will design problems to train and benchmark AI systems and provide actionable feedback to guide the next generation of quantitative reasoning models. The position is based in Winter Park, Florida, with remote work supported under a flexible schedule.

Responsibilities

• Assess AI-produced quantitative work, including statistics, predictive modeling, scientific reasoning, and data-driven insights, for technical soundness and real-world applicability.
• Design and solve quantitative tasks used to train and benchmark AI systems across forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical explanations and well-documented analytical code.
• Deliver feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

• 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 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 (native or bilingual level).
• 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 ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

• AWS
• GCP

Benefits

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: select projects and determine when you work.
• Competitive pay: hourly projects, up to $60 USD per hour, with opportunities for higher rates based on performance.
• Impact: contribute to shaping AI systems built to reason about data and analytics.

Note

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