Great Value Hiring
Data Annotator
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Annotators: Paid Tasks for AI Model Training [$40/hr]
A paid project focused on generating high-quality labeled data for artificial intelligence models to help refine machine learning systems across a variety of formats and subject matters.
How It Works
- The candidate will log into the remote platform to access a queue of diverse annotation assignments.
- Depending on the current batch, you might categorize text, highlight specific entities, or evaluate AI-generated responses for quality.
- The candidate will work through these assignments independently and at their own pace.
- The project features rolling availability, allowing you to seamlessly fit the work around your existing schedule.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who This Is For
- Detail-oriented individuals with prior experience in data annotation, data labeling, or AI model evaluation
- Freelance labelers, QA testers, content moderators, and machine learning data specialists
- You must be comfortable working independently and adapting to new labeling guidelines as project parameters evolve.
Role Responsibilities
- Review text or media samples based on provided project guidelines
- Apply accurate labels and categorizations to diverse data sets
- Evaluate AI-generated responses for clarity, safety, and factual accuracy
- Manage your own time to complete assignments at your preferred pace
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Who Should Apply
- Prior professional experience with data annotation or labeling
- Strong attention to detail and ability to follow complex guidelines
- Comfortable working independently on a remote basis
- Familiarity with evaluating AI outputs or machine learning datasets.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location