Marketing Data Scientist - AI Trainer

Contract Marketing Data Scientist - AI Trainer role with DataAnnotation offers remote work and flexible scheduling to assist training AI systems through evaluation and feedback on quantitative outputs.

Details

• Location: St. Louis, MO (remote)
• Compensation: USD 50 - 100 per hour
• Job Type: Contract
• Experience: 3+ years
• Education: Bachelor's degree in a quantitative field preferred

Responsibilities

• Assess AI generated quantitative outputs for accuracy and real world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
• Develop and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experiment analysis, optimization, and statistical inference.
• Produce clear technical explanations and well documented analytical code.
• Deliver feedback that shapes the next generation of AI models designed for quantitative reasoning.

Requirements

• At least 3 years of hands on experience in a quantitative role or research setting such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
• Some coding experience with the ability to write and review analytical code end to end.
• Practical experience with statistical methods, predictive modeling, and experimental design including A/B testing, hypothesis testing, regression, classification, and time series forecasting.
• English fluency with strong writing skills (native or bilingual level).
• Bachelor's degree in a quantitative field is preferred; Master’s or PhD is a plus.
• Relevant credentials or demonstrated expertise (eg Kaggle rankings, AWS/GCP ML certifications) are a plus.

Benefits

• Fully remote work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: select projects and hours from your own computer at home.
• Competitive pay: hourly rates between 50 and 100 USD, with occasional bonuses on select projects.
• Impact: contribute to AI systems that reason about data and analytics.