Machine Learning Engineer - AI Trainer

DataAnnotation is seeking an experienced Machine Learning Engineer - AI Trainer to evaluate and help train AI systems focused on quantitative reasoning and analytical tasks. This fully remote role is paid hourly and supports a flexible approach to project selection and scheduling.

Role Overview

You will review AI-generated quantitative work and contribute to the creation of training and benchmark problems. The work spans statistical analysis, predictive modeling, scientific reasoning, and data-driven insight quality, with direct feedback that informs the next generation of AI models.

Responsibilities

• Evaluate AI-generated quantitative outputs, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, with attention to 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.
• Write clear technical explanations and provide well-documented analytical code.
• Deliver feedback that directly influences how future AI models for quantitative reasoning are developed.

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 a closely related area.
• Some coding experience, including comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as 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 or AWS/GCP ML certifications (or equivalent demonstrated expertise).

Technologies

• PayPal
• AWS
• GCP
• Kaggle

Compensation and Work Setup

• Location: New York, NY (remote)
• Pay: USD 50 - 100 per hourly, with competitive hourly project rates up to $60 USD per hour
• Experience level: 2+ years

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.
• Higher-paying opportunities: available based on strong performance.
• Impact: contribute to AI systems built to reason about data and analytics.

Note: Payment is made via PayPal. DataAnnotation will never ask you for money. This job is only available to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand.