Analytics Engineer - AI Trainer

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote role based in Bedford, VA, offering a flexible schedule. The position involves evaluating AI-generated quantitative work, designing problems for training and benchmarking AI systems, and providing feedback to steer models' quantitative reasoning. Compensation is hourly, USD 50 to 100.

Responsibilities

• Evaluate AI-generated quantitative work across domains such as statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, assessing technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference, with clear performance criteria.
• 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.

Note

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