Machine Learning Engineer - AI Trainer

DataAnnotation is seeking an experienced Machine Learning Engineer - AI Trainer to evaluate and support the training of AI systems focused on quantitative reasoning. This fully remote role involves reviewing AI-generated analytical work, building training and benchmark problems, and providing feedback that improves model performance on real-world data tasks.

Work is paid hourly and becomes available after you pass an assessment. Projects can be selected based on your schedule, with payment handled via PayPal.

Responsibilities

• Review AI-generated quantitative outputs, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity.
• Create and solve quantitative problems used to train and benchmark AI systems, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical explanations and maintain well-documented analytical code.
• Deliver feedback that informs the next iteration 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 an adjacent field.
• Some coding experience, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design, including examples like A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Fluency in English (native or bilingual) 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: choose which projects you take on and when you work.
• Competitive pay: projects are paid hourly, with up to $60 USD per hour for high-performing projects. Salary range listed is USD 50 - 100 per hourly.
• Impact: contribute to AI systems that reason about data and analytics.

Location: Washington, DC (remote). Payment: via PayPal. DataAnnotation states that they will never ask candidates for money. Availability: this role is limited to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.