Software Engineer (AI Training)

Overview

The newest models can vibe-code a whole feature in minutes. Someone has to check whether that code actually works, and that someone is you.

You'll run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Every failure you document teaches the next generation of coding agents.

What you’ll actually do

• Vibe-code with frontier models on real tasks: fix a bug, extend an API, ship a feature, and see how far the model gets on its own.
• Analyze the AI's work against production standards: find the bugs, explain the failure, and rate the model's reasoning.
• Red-team the models to expose unsafe code, faked test passes, and confidently wrong solutions before real users hit them.

Roles this fits

Common backgrounds: Software Engineer, Backend Engineer, Full-Stack Developer, DevOps Engineer.

What we look for

• Professional or serious open-source experience shipping production code.
• Comfort in at least one major stack; most tasks use Python, C++, Rust, Go, or JavaScript.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Compensation

Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

Apply now

Hourly rate up to $150+ / hour

Commitment Flexible hours

Type Independent contractor

Payouts Weekly

Apply now

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Where you can work

This role is 100% remote, for applicants located in these 6 countries: Australia, Canada, United Kingdom, Ireland, New Zealand and United States.