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Job Description

Join DataAnnotation as a Machine Learning Engineer - AI Trainer to evaluate and help train AI systems focused on quantitative reasoning.

Responsibilities

  • Review AI-generated quantitative outputs, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity
  • Create and solve quantitative problems used to train and benchmark AI systems across forecasting, experimental analysis, optimization, and statistical inference
  • Produce clear technical explanations alongside well-documented analytical code
  • Deliver feedback that informs and improves the next generation of AI models for quantitative reasoning tasks

Requirements

  • 2+ years of hands-on experience in a quantitative role or research environment (data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related)
  • Coding experience required, with comfort writing and reviewing analytical code end-to-end
  • Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting
  • English fluency (native or bilingual level) with strong writing skills
  • Bachelor’s degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); master’s or PhD is a plus
  • Relevant credentials are a plus, such as Kaggle Competition ranking or 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 to take on and when you work
  • Competitive pay: paid hourly; up to $60 USD per hour for strong performance (salary range listed: USD 50 - 100 per hourly)
  • Impact: help shape AI systems that reason about data and analytics

Additional Information

  • Payment method: PayPal
  • No money will be requested from applicants
  • This role is available only to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand

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