Remote AI Data Annotator - Flexible Hours, Training Provided

HTU; United States; Hybrid; USD 21,000 - 28,000; Full time

Benefits offered by this job

Remote work from anywhere in the US

Flexible hours

Training provided on every task type

Full pipeline workload across AI tasks

Job summary

HTU is seeking an annotation specialist to review and label diverse datasets from a remote location in the United States. You will categorize content across sentiment, object detection, and intent tasks, while flagging ambiguous items for senior review and ensuring high accuracy.

Training is provided, with flexible hours and a steady workflow. Ideal candidates have exceptional attention to detail, pattern recognition, and the ability to follow complex guidelines precisely.

Qualifications

• No degree required.
• No prior annotation experience needed; training provided.
• Excellent attention to detail and pattern recognition.
• Ability to follow complex guidelines precisely.
• Reliable internet and distraction-free workspace.
• Comfortable using web-based tools and spreadsheets.

Responsibilities

• Review and label datasets according to provided guidelines.
• Categorize content across tasks like sentiment, object detection, and intent classification.
• Flag ambiguous content for senior review.
• Meet quality benchmarks prioritizing accuracy over speed.
• Complete tasks within deadlines while maintaining consistency.
• Provide feedback on guidelines when instructions are unclear.
• Participate in calibration sessions to align on quality standards.

Skills

Attention to detail

Pattern recognition

Ability to follow guidelines

Independent work

Basic computer literacy

Tools

Web-based tools

Spreadsheets

Job description

HTU is seeking an annotation specialist to review and label diverse datasets from a remote location in the United States. You will categorize content across sentiment, object detection, and intent tasks, while flagging ambiguous items for senior review and ensuring high accuracy.

Training is provided, with flexible hours and a steady workflow. Ideal candidates have exceptional attention to detail, pattern recognition, and the ability to follow complex guidelines precisely.