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Job Description

DataAnnotation seeks an Analytics Engineer - AI Trainer in Bridgewater, NJ, offering remote work options for a contract role with flexible scheduling.

Responsibilities

  • Assess AI produced quantitative work including statistics, predictive modeling, scientific reasoning, and data driven insights for accuracy and real world validity.
  • Create and solve quantitative tasks used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
  • Produce clear technical explanations and well documented analytical code.
  • Deliver actionable feedback that shapes the next generation of AI models focused on quantitative reasoning.

Requirements

  • Minimum of 3 years in a hands on quantitative role or research environment (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 (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 (Statistics, Computer Science, Mathematics, Engineering or similar); advanced degree (Master's or PhD) is a plus.
  • Relevant credentials are a plus (for example Kaggle competition ranking, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Technologies

  • AWS
  • GCP
  • Kaggle

Compensation

  • Hourly rate: USD 50 - 100 per hour.

Benefits

  • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule: choose projects and hours on your own terms from your home computer.
  • Competitive pay with potential bonus rates on select projects.
  • Impact: contribute to AI systems designed to reason about data and analytics.

Note

  • Payment is processed via PayPal. We will never ask for money from you.
  • Geographic eligibility: open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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