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Job Description

A remote, contract role for a Senior Data Scientist - AI Trainer based in Nebraska, focusing on evaluating AI generated quantitative work and designing quantitative problems to train AI systems with flexible scheduling.

Responsibilities

  • Assess AI produced quantitative outputs for technical accuracy and real world validity, covering statistics, predictive modeling, scientific reasoning, and data-driven insights.
  • Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
  • Draft clear technical explanations and maintain well documented analytical code.
  • Provide feedback that directly informs the next generation of AI models built for quantitative reasoning.

Requirements

  • 3+ 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.
  • Hands on experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time series forecasting).
  • Fluent English with strong writing skills.
  • Bachelor's degree in a quantitative field preferred; advanced degree (Master's or PhD) is a plus.
  • Relevant credentials are a plus (e.g., Kaggle ranking, AWS or 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 projects and work on your own terms from your own computer at home.
  • Competitive pay: projects paid hourly from $50 to $100 USD, with potential bonuses on select projects.
  • Impact: help shape AI systems designed for data and analytics reasoning.

Notes

  • Payment is made via PayPal. The employer will never ask for money from you.
  • This job is open to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.

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