Analytics Engineer - AI Trainer

The Analytics Engineer - AI Trainer is a contract role focused on aiding the development of AI systems by evaluating quantitative outputs, solving technical problems, and delivering actionable feedback to enhance AI reasoning. The position supports remote work with flexible scheduling.

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 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

• 3+ 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, comfortable 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 with strong writing skills.
• Bachelor's degree in a quantitative field preferred; advanced degrees (Master's or PhD) are a plus.
• Relevant credentials are a plus (e.g., Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Location and Employment Details

Location: Santa Clara, CA, with remote work options.

Employment type: Contract

Compensation: USD 50 - 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, on your own computer, from home.
• Competitive pay: hourly rate of $50 to $100 USD, with bonus rates on some projects.
• Impact: contribute to the development of AI systems designed to reason about data and analytics.