Marketing Data Scientist - AI Trainer

The Marketing Data Scientist - AI Trainer role evaluates and trains AI models on quantitative analysis and scientific reasoning tasks, using your expertise to improve how systems interpret data and models. This is a remote, contract opportunity with flexible scheduling and paid hourly work after assessment completion.

Location and Work Type

Location: Oakland, CA (remote)

Job type: Contract

Availability: US, Canada, UK, Ireland, Australia, and New Zealand

Hourly Pay

Compensation: USD 50 to 100 per hourly

Additional note: Projects are paid hourly, up to $60 USD per hour, with potential for higher-paying projects based on performance.

Responsibilities

• Review and evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, focusing on technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems across areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Create clear technical explanations and maintain well-documented analytical code.
• Provide feedback that directly influences the next generation of AI models for quantitative reasoning.

Requirements

• 2+ years of hands-on experience in a quantitative role or research environment (for example: data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related field).
• Some coding experience, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design such as A/B testing and hypothesis testing, as well as regression, classification, and time-series forecasting.
• English fluency at native or bilingual level, with strong writing skills.
• A bachelor’s degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar). A master’s or PhD is a plus.
• Relevant credentials are a plus, such as Kaggle Competition ranking, 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: select which projects you take on and when you work.
• Impact: support the future of AI systems built to reason about data and analytics.

Payment Details and Eligibility Notes

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