Marketing Data Scientist - AI Trainer

Marketing Data Scientist - AI Trainer at DataAnnotation is a remote position based in Salinas, CA, focused on evaluating AI generated quantitative analysis and guiding AI systems, with flexible scheduling and project based pay.

Responsibilities

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

Requirements

• 2+ years of hands on experience 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, comfortable writing and reviewing analytical code end to end.
• Practical experience with statistical methods, predictive modeling, and experiment design (for example A/B testing, hypothesis testing, regression, classification, time series forecasting).
• English fluency at native or bilingual level with strong writing skills.
• Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); master's or PhD is a plus.
• Credentials such as Kaggle competition rankings, AWS or GCP ML certifications, or equivalent demonstrated expertise are a plus.

Benefits

• Fully remote: work from the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose projects and determine when you work.
• Competitive pay: hourly pay up to $60 USD per hour, with opportunities for higher paying projects based on performance.
• Impact: contribute to shaping AI systems that reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you. This job is only available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.