Descrição da vaga
Role: AI Data Contributor (Remote)Location: Remote (Work from Anywhere)
Role Overview:
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.
Requisitos
• 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.