The Role As a Strategic Projects Lead (SPL), you will own the end-to-end delivery of coding data pipelines used to train frontier AI models.
Software Engineer
Australia, Canada, Ireland +3
$40 – $150/hr
September 22, 2026
Job description
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.
How it works
Apply
Qualify
Work & get paid
Compensation
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Available regions
Each region below is open to applicants in that country only. Apply through the link for your region.
Apply now
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## About the Project We build hard, verifiable command-line tasks used to evaluate frontier AI agents. AI agents are good at the textbook. They still fail where experience matters: a default nobody questions, a rule nobody wrote down, a fix that looks right and isn't.
Opportunity Snapshot Pay: $50–100/hour Time per task: ~15 hours per run Onboarding: As soon as you’re selected, Talent Ops will send you everything you need to get started You’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably…
Opportunity Snapshot Pay: $50–100/hour Time per task: ~15 hours per run Onboarding: As soon as you’re selected, Talent Ops will send you everything you need to get started You’ll need: clear open source contributions and a profile to showcase them, such as GitHub (preferably…