Full Stack Engineer
Quick facts
- Type
- Contract
- Location
- Remote
- Skills
- JavaScript
- Platform
- DataAnnotation — 112 open jobs
- Apply
- Free to apply — never pay to get AI training work
Pay: up to $40 – $150+ /hour (depends on task difficulty and specialization)
Location: Remote · Type: Independent contractor · Hours: Flexible hours · Payouts: Weekly
Overview
Models can scaffold a whole app in one shot: front end, API, and database, all of it looking right. Then the state goes stale, the endpoint leaks data, and the migration bricks production. Someone has to trace a feature across every layer and find where it actually breaks, and that someone is you.
As a Full Stack Engineer you'll run frontier models on real end-to-end tasks, analyze what they build across the stack, and write the judgments that teach the next generation to ship features that hold together.
What you’ll actually do
- Build with frontier models on real end-to-end tasks: wire a UI to an API, model the data, and see how far the model gets.
- Trace the feature across layers to find where it breaks: stale state, leaky endpoints, and migrations that don't survive contact with real data.
- Write the working version when the model falls short, sound from the component down to the schema.
Roles this fits
Common backgrounds: Full-Stack Engineer, Web Developer, Product Engineer.
What we look for
- Professional or serious open-source experience shipping full-stack applications.
- Comfort across the stack; most tasks span a JavaScript front end, an API layer, and a database.
- 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 $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.
How it works
Apply, pass the qualification assessment, then pick up paid projects whenever you want and get paid weekly.