Analytics Engineer - AI Trainer
Job Description
DataAnnotation is seeking an Analytics Engineer - AI Trainer for a remote contract role based in Seattle, WA. This position focuses on shaping AI models through rigorous quantitative training and evaluation, with the flexibility to schedule work around project needs and compensation up to $60 per hour. You will design training tasks, assess AI outputs for accuracy and real-world relevance, and provide actionable feedback to guide the next generation of AI systems built for quantitative reasoning.
Responsibilities
- Assess AI-generated quantitative work for technical accuracy and practical validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
- Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
- Produce clear technical explanations and well-documented analytical code.
- Provide feedback that directly informs the development of AI models focused on quantitative reasoning.
Requirements
- 2+ years 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 experimental design (A/B testing, hypothesis testing, regression, time-series forecasting).
- Fluency in English with strong writing skills.
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: select projects and determine your work times from your own computer at home.
- Competitive pay: hourly rates up to $60, with bonus rates available on some projects.
- Impact: contribute to shaping AI systems designed for reasoning about data and analytics.