Analytics Engineer - AI Trainer

DataAnnotation offers a fully remote, flexible role with real impact. You will evaluate AI generated quantitative work, design training and benchmarking problems, and provide actionable feedback to shape AI models that reason about data and analytics. This position is based in Bedford, VA with remote work options.

Compensation ranges from USD 50 to 100 per hour.

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.

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 related fields.
• Some coding experience required, with comfort writing and reviewing 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 (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).

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