Remote AI Data Annotator for Students

Hire Feed; United States; Remote; USD 21,000 - 30,000; Full time

Job summary

Hire Feed is seeking an AI Training Data Contributor (College Students) for a full-time, remote role. You will label, tag, and validate data to improve AI models, following detailed guidelines.

Ideal candidates are enrolled in a college program, with strong attention to detail and good written English. Familiarity with data annotation tools is a plus. Flexible scheduling supports academic commitments while contributing to cutting-edge AI systems in a global tech environment.

Qualifications

• Currently enrolled in a college or university program.
• Strong attention to detail to ensure high accuracy in data annotation tasks.
• Basic understanding of AI or data processing concepts is beneficial.
• Ability to follow structured guidelines and maintain consistency across large datasets.
• Proficiency in written English for clear communication of findings or issues.

Responsibilities

• Label and annotate datasets according to detailed instructions to ensure accuracy for AI training.
• Review and validate existing labeled data to maintain quality.
• Identify and flag ambiguous or low-quality data for review by senior contributors.
• Follow project-specific guidelines to categorize content (text sentiment, object detection, etc.).
• Collaborate with team members to resolve discrepancies and improve dataset reliability.

Skills

Attention to detail

Guideline adherence

Written English

Data annotation familiarity

Remote work readiness

Education

College/university student

Job description

Hire Feed is seeking an AI Training Data Contributor (College Students) for a full-time, remote role. You will label, tag, and validate data to improve AI models, following detailed guidelines.

Ideal candidates are enrolled in a college program, with strong attention to detail and good written English. Familiarity with data annotation tools is a plus. Flexible scheduling supports academic commitments while contributing to cutting-edge AI systems in a global tech environment.