Data Labeling Specialist
We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — helping machines learn to interpret text, images, and audio with greater accuracy.
Hiring companyAlignerr
About the role
What if your attention to detail could directly influence how the next generation of AI systems sees and understands the world?
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and the ability to follow structured guidelines. No prior AI or tech experience needed — just consistency, focus, and a reliable internet connection.
Why Join Us
- Work on meaningful AI projects alongside leading research labs.
- Fully remote and flexible — work when and where it suits you.
- Freelance autonomy with the structure of clear, task-based assignments.
- Contribute to AI development that shapes how technology understands the world.
- Potential for ongoing work and contract extension as new projects launch.
Responsibilities
- Categorize and label data — including text, images, and audio — using clearly defined tag sets and annotation guidelines.
- Annotate content with precision to ensure AI models receive accurate, high-quality training signals.
- Maintain consistency and accuracy across large datasets through careful, systematic work.
- Participate in calibration exercises to align with quality standards across the team.
- Complete task-based assignments independently on your own schedule.
Required skills
- Naturally detail-oriented with a patient, methodical approach to repetitive tasks.
- Able to follow structured instructions precisely and consistently.
- Comfortable working with web-based tools and online platforms.
- Self-motivated and reliable when working independently.
Preferred skills
- Experience in quality assurance, data entry, or content moderation.
- Familiarity with annotation tools or AI platforms as an end user.
- Background in research, editing, or any field requiring close attention to detail.
Experience and education
- No prior data labeling or AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible countries: United Kingdom
Compensation details
$40–$120 per hour.
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