Data Annotator [Remote]

Annotate audio and video data to help train next-generation AI systems on a dynamic customer project. This contractor role focuses on producing high-quality, real-world labels and corrections that directly influence model learning and evaluation. Domain expertise matters more than prior AI experience, and strong attention to detail and English proficiency are required.

• Annotate and label audio and video samples precisely, following project-specific guidelines.
• Review and validate existing annotations for consistency and quality across datasets.
• Identify, flag, and correct ambiguous or incorrect data samples.
• Document annotation decisions and maintain clear records for auditability and transparency.
• Collaborate with project leads and teammates through written and verbal communication to resolve questions and align on best practices.
• Meet defined deliverables and deadlines while maintaining high annotation accuracy.
• Provide feedback and suggestions to improve annotation workflows and guidelines.

• Required skills: data annotation and strong attention to detail.
• Proficiency in written and verbal English.
• No prior AI experience required, domain knowledge is valued.
• Preferred: direct experience annotating audio and video media.
• Preferred: experience working with varied data types and adapting to evolving guidelines.
• Preferred: familiarity with data labeling tools or platforms, and ability to document and explain annotation rationale.
• Preferred: experience giving constructive feedback to improve annotation processes.

• Role type: Contractor.
• Location: Remote.
• Assignment: work on a dynamic customer project focused on high-impact data annotation, collaborating with project leads and peers as needed.

Pay range: $6.00 to $8.00 per hour.

• Candidates must be able to engage as independent contractors.
• No specific work-authorization or visa sponsorship details were provided in the source listing.
• Applicants do not need prior AI experience, but must bring relevant domain knowledge and English proficiency.