Simulation Researcher - AI Trainer

DataAnnotation; New York (NY); Remote; USD 55,000 - 207,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based work

Job summary

DataAnnotation is seeking contributors to vibe-code with frontier models on real tasks, fix bugs, extend APIs, ship features, and test how far the model can go. You will analyze the AI's work against production standards, identify bugs, explain failures, and rate reasoning.

This role emphasizes clear written English and practical coding experience. We offer remote, flexible projects with lucrative hourly pay and a collaborative, project-focused environment that values real results over formal

Qualifications

• Professional or serious open-source experience shipping production code.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Responsibilities

• 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.

Skills

Vibe-code

Frontier models

Production code experience

Clear written English

Tools

Git

API usage

Job description

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.

What we look for

• Professional or serious open-source experience shipping production code.


• 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.