Full Stack Engineer (AI Training)

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 $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.

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Hourly rate up to $150+ / hour

Commitment Flexible hours

Type Independent contractor

Payouts Weekly

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