Image and video annotation
Bounding boxes, polygons, segmentation masks, keypoints and classification for computer vision data.
Remote · Project-based
Remote data annotation and labeling jobs
Data annotators label the examples AI models learn from: drawing boxes around objects, tagging text, marking sounds in audio, sorting content into categories. One6 matches annotators with remote AI data projects that fit their skills and languages, and trains them on each project's guidelines before work starts.
What the work involves
Text labeling
Tag entities, intent and sentiment, classify documents and categorize content for language models.
Audio annotation
Mark speakers, timestamps and sound events, and check transcripts against recordings.
Review and correction
Check other annotators' labels against the guidelines and fix what doesn't match.
You may be a good fit if
- You read instructions closely and apply them the same way every time
- You can stay accurate across long runs of similar items
- You flag unclear cases instead of guessing
- You have a reliable computer and internet connection
Skills and setup
- Attention to detail and consistency
- Comfort with web-based annotation tools
- Good written English, plus any other languages you speak natively
- Domain knowledge (medicine, law, engineering and so on) for specialized projects
How to get started
- 01
Apply
Share your location, expertise, skills, experience, languages and work preferences.
- 02
Qualify
Complete a skills test or trial task. When a project needs your profile, we contact you with the details.
- 03
Train
Review the project's instructions and terms, including how work is reviewed and paid, and train on its guidelines.
- 04
Work
Work remotely. Your accuracy and output are tracked, and contributors below the quality bar are retrained or removed.
Frequently asked questions
Do I need experience to get data annotation work?
Not always. Many projects need careful generalists rather than specialists. Every contributor passes a skills test or trial task for the project and is trained on its guidelines before production work.
How is my work checked?
Each contributor's accuracy and output are tracked. Projects use written guidelines, gold-standard items and reviewer sampling, and contributors below the quality bar are retrained or removed from the project.
Is the work remote?
Yes. One6 contributors work remotely, from wherever they are.
How much does it pay?
Compensation depends on the project. Before you start any project you receive its instructions and terms, including the tasks, how work is reviewed and how it is paid, and you are free to decline.
Does applying guarantee work?
No. Contributors are selected for each project based on its requirements, such as languages, domain and experience. We contact you when a project matches your profile.
Read the Contributor Terms and Privacy Policy, learn more about One6, or see all remote AI training jobs.
Related work and guides
Ready to apply?
Share your information once and we'll contact you when a project matches your profile.