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Job Description

Marketing Data Scientist - AI Trainer at DataAnnotation, a remote role focused on evaluating and shaping AI-generated quantitative analysis and training AI systems, with flexible scheduling and project-based pay ranging from USD 50 to 100 per hour.

Responsibilities

  • Assess AI-generated quantitative output for technical accuracy and practical validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
  • Create and solve quantitative challenges used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
  • Document analyses with clear technical explanations and well-documented code.
  • Provide actionable feedback to influence the next generation of AI models designed for quantitative reasoning.

Requirements

  • 2+ years in a quantitative role or research setting such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
  • Some coding experience with the ability to write and review analytical code end-to-end.
  • Practical experience with statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
  • Fluency in English with strong writing skills (native or bilingual).
  • Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
  • Relevant credentials are advantageous, such as Kaggle rankings or cloud ML certifications (AWS/GCP) or equivalent demonstrated expertise.

Benefits

  • Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule to choose projects and determine when you work.
  • Competitive pay with hourly projects, up to 60 USD per hour; higher-paying opportunities available for strong performance.
  • Opportunity to influence AI systems built to reason about data and analytics.

Notes

  • Payment is made via PayPal; we will never ask for money from you.
  • This opportunity is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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