Remote ML Engineer: AI Trainer for Quantitative Reasoning

DataAnnotation; Washington (District of Columbia); On-site; USD 69,000 - 138,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Competitive pay

Impact

Job summary

DataAnnotation is seeking a Machine Learning Engineer - AI Trainer to evaluate and train AI systems focused on quantitative reasoning. You will review AI-generated outputs for accuracy and real-world validity, create quantitative problems for benchmarking, and document analytical code with clear explanations.

The role requires 2+ years in quantitative roles, coding skills, and strong writing. Remote work available with competitive hourly pay and flexible project selection.

Qualifications

• 2+ years in a quantitative role or research environment.
• Coding experience with end-to-end analytical code.
• Experience with statistical methods, modeling, and experiment design.
• Fluent English with strong writing skills.
• Credentials like Kaggle rankings or cloud ML certs are a plus.

Responsibilities

• Review AI outputs for technical accuracy and real-world validity.
• Create and solve quantitative problems to train AI systems.
• Produce clear technical explanations with well-documented analytical code.
• Provide feedback to improve next-gen AI models for quantitative reasoning tasks.

Skills

Quantitative analysis

Coding

English fluency

Strong writing

Education

Bachelor's degree in a quantitative field

Master's or PhD is a plus

Tools

Kaggle competitions

AWS/GCP ML certifications

Job description

DataAnnotation is seeking a Machine Learning Engineer - AI Trainer to evaluate and train AI systems focused on quantitative reasoning. You will review AI-generated outputs for accuracy and real-world validity, create quantitative problems for benchmarking, and document analytical code with clear explanations.

The role requires 2+ years in quantitative roles, coding skills, and strong writing. Remote work available with competitive hourly pay and flexible project selection.