AI Data Contributor (Remote)

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

We are hiring for one of our clients, seeking a AI Training Data Contributor (College Students) to work on a Full-Time basis. The role involves providing high-quality annotated datasets to improve AI model performance. Tasks include labeling, tagging, and validating text, images, or other data types based on provided guidelines.

Key Responsibilities

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

Required Skills & Qualifications

• Currently enrolled in a college or university program, with preference for students in computer science, data science, or related fields.
• Strong attention to detail to ensure high accuracy in data annotation tasks.
• Basic understanding of AI, machine learning, 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.
• Familiarity with data annotation tools or platforms is a plus but not required.

More About the Opportunity

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI systems. The work is flexible and can be completed remotely, allowing students to balance academic commitments while gaining practical experience.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.