Remote Data Labeler — Flexible, Detail‑Driven Annotator

Stie Yai; United States; On-site; USD 20,664 - 27,552; Part time

Benefits offered by this job

Flexible hours

Comprehensive training

Access to earning opportunity network

Job summary

Stie Yai is seeking candidates to review and label various datasets, a role that requires no prior experience or degree. Successful applicants will display exceptional attention to detail and will be trained on all tasks.

This fully remote position offers flexible hours, allowing employees to set their own schedules. Compensation ranges from $15 to $20 per hour, with consistent work opportunities across multiple AI training projects.

Qualifications

• No degree or prior annotation experience required; full task training provided.
• Reliable internet connection and a distraction-free workspace.
• Comfortable using web-based tools and spreadsheets.

Responsibilities

• Review and label datasets including text, images, audio clips, and video frames according to guidelines.
• Categorize content accurately across various annotation tasks.
• Flag ambiguous or problematic content for senior review.
• Meet quality benchmarks prioritizing accuracy over speed.
• Complete tasks within assigned deadlines maintaining consistency.
• Provide feedback on annotation guidelines.
• Participate in calibration sessions for quality standards.

Skills

Attention to detail

Pattern recognition

Ability to follow guidelines

Basic computer literacy

Job description

Stie Yai is seeking candidates to review and label various datasets, a role that requires no prior experience or degree. Successful applicants will display exceptional attention to detail and will be trained on all tasks.

This fully remote position offers flexible hours, allowing employees to set their own schedules. Compensation ranges from $15 to $20 per hour, with consistent work opportunities across multiple AI training projects.