Remote Data Annotation Specialist — Flexible Hours

HTU

Northern (KY)

Hybrid

USD 21,000 - 28,000

Full time

14 days+
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Benefits offered by this job

Competitive hourly pay
Fully remote
Flexible hours
Comprehensive training
Ongoing project pipeline
Networking opportunities

Job summary

HTU is seeking a detail-oriented data labeling professional for a fully remote role across the United States. Training covers all task types, and you will label data across text, image, audio, and video modalities.

The position offers hourly pay with flexible hours and a steady workflow. No prior annotation experience is required, and you’ll join a team that emphasizes accuracy, guidelines adherence, and consistent output.

Qualifications

  • No degree or prior annotation experience required; full task training provided.
  • Exceptional attention to detail and pattern recognition skills.
  • Ability to follow complex written guidelines precisely and consistently.
  • Comfort working independently on repetitive tasks without losing accuracy.
  • Reliable internet connection and a distraction-free workspace.
  • Basic computer literacy, including comfort using web-based tools and spreadsheets.

Responsibilities

  • Review and label datasets across text, images, audio, and video.
  • Categorize content across annotation tasks such as sentiment, object detection, and intent.
  • Flag ambiguous content for senior review.
  • Meet quality benchmarks prioritizing accuracy over speed.
  • Complete tasks within assigned deadlines while maintaining consistency.
  • Provide feedback on annotation guidelines when instructions are unclear or contradictory.
  • Participate in calibration sessions to align on quality standards with the team.

Skills

Attention to detail
Pattern recognition
Guideline compliance
Independent work
Time management

Tools

Web-based tools
Spreadsheets

Job description

HTU is seeking a detail-oriented data labeling professional for a fully remote role across the United States. Training covers all task types, and you will label data across text, image, audio, and video modalities.

The position offers hourly pay with flexible hours and a steady workflow. No prior annotation experience is required, and you’ll join a team that emphasizes accuracy, guidelines adherence, and consistent output.

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