Analytics Engineer - AI Trainer

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a remote-first team. This role centers on evaluating AI-generated quantitative outputs for technical accuracy and real-world validity, while shaping AI model development through problem design and actionable feedback. The position offers flexible scheduling and the opportunity to influence how AI systems reason about data and analytics from anywhere in eligible regions.

Details

• Location: Austin, TX (remote)
• Salary: USD 50 - 100 per hourly
• Minimum experience: 2 years

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well-documented analytical code.
• Provide 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 any adjacent field.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
• Fluency in English (native or bilingual level) with strong writing skills.
• A 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 (e.g., 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: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
• Impact: help shape the future of AI systems built to reason about data and analytics.

Notes

• 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.