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. This is a remote contract opportunity based in Massachusetts, with flexible project selection and work timing after completing a short assessment.

Key Responsibilities

• Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring both technical accuracy and real-world validity.
• Develop 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 well-documented analytical code.
• Provide feedback that informs and improves the next generation of AI models built for quantitative reasoning.

Required Qualifications

• 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 field.
• Some coding experience with the ability to write and review 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.
• English fluency at native or bilingual level, along 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.

Technologies

• Kaggle
• AWS
• GCP

Compensation and Employment Details

• Job type: Contract
• Location: Massachusetts (remote)
• Pay: USD 50–100 per hourly (projects are paid hourly, up to $60 USD per hour, with potential for higher-paying projects based on performance)
• Experience level: Minimum 2 years

Remote Work and Availability

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
• Flexible schedule: choose which projects to take on and when you work.

Assessment Process

After you sign up for an account, you’ll complete a short assessment as a version of an interview. If you pass, you will receive an email confirmation and paid work will become available on the platform.

Additional Notes

• Payment is made via PayPal.
• DataAnnotation will never ask for any money from you.