Full Stack Engineer (Machine Learning) – Remote Full Time

• Title: Full Stack Engineer (Machine Learning) – Remote
• Location: United States, Canada, Puerto Rico, United Kingdom, Australia, New Zealand, Mexico, Argentina
• Compensation: $150/hr | 100% Remote

About the Role

We help the world’s most innovative AI companies improve their models through human expertise. We’re hiring ML and AI professionals, engineers, researchers, scientists, and applied practitioners to evaluate AI-generated technical content, write domain-specific prompts, and assess model accuracy across NLP, computer vision, reinforcement learning, and other ML frontiers. Your evaluations set the benchmark for how leading models reason about machine learning.

What You’ll Do

• Evaluate AI-generated content across machine learning, AI, and computer science topics
• Write prompts and questions that test AI reasoning on technical ML and AI problems
• Review and rank AI responses for factual accuracy, technical depth, and domain rigor
• Audit AI chain-of-thought reasoning on complex ML, algorithmic, and research problems

Who Qualifies

You’re a strong fit if you have professional experience in one or more of the following:

• Machine learning engineering, AI engineering, or ML software engineering
• Applied science, research science, or AI research
• ML specialty domains, NLP, computer vision, reinforcement learning, deep learning, or generative AI
• Data science, data engineering, or ML-focused data analysis
• Computer science research, statistics, applied mathematics, computational neuroscience, or related technical fields

Preferred Background

• Bachelor’s, Master’s, or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• Experience at a technology company, research lab, AI startup, or university research group
• Strong written English; ability to explain ML and AI concepts clearly and precisely

Compensation & Schedule

• $150/hr rate varies by domain expertise, project complexity, and seniority; top of range reserved for PhD and senior practitioners
• Additional incentives available contributors earn an average 7.5% extra through Missions, top quartile boosts earnings by an average of 11%
• 100% remote, work from anywhere in eligible locations
• No minimum hours, no fixed schedule, no commitment

Equal Opportunity Statement

Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics.

Apply Now!