Generalist Data Annotator

Work as a remote generalist annotator to create and refine high-quality datasets that train next-generation AI systems. This role focuses on applying domain knowledge, critical thinking, and clear communication to label diverse data accurately and consistently. No prior AI experience is required, domain expertise and attention to detail are the primary assets.

• Analyze and annotate a variety of data types following detailed project guidelines.
• Use critical thinking to produce accurate, consistent, and relevant labels.
• Collaborate with project leads to resolve ambiguities and clarify annotation standards.
• Document observations, edge cases, and suggested improvements to annotation procedures.
• Contribute feedback to help optimize annotation processes and guidelines.
• Maintain a high standard of quality and attention to detail across assigned tasks.
• Communicate regularly with project coordinators through written and verbal channels.

• Experience with data annotation or related work is preferred, but not required.
• Strong critical thinking skills and a commitment to accuracy.
• Clear and effective written and verbal communication abilities.
• Comfort with remote work, independent task management, and meeting deliverables.
• Generalist mindset, adaptable to a wide range of content and annotation scenarios.
• Prior exposure to collaborative projects or remote professional engagements is a plus.
• Required skills include data annotation, critical thinking, attention to detail, written and verbal communication, and remote work management.

• Role type, independent contractor.
• Location, fully remote.
• Work supports a customer project focused on building high-quality datasets for AI training.

• Pay range, $30 to $80 per hour.

• No prior AI experience required, applicants should bring domain knowledge relevant to annotation tasks.
• Candidates must be able to work as independent contractors and manage work remotely.

If this opportunity fits your skills and availability, indicate your interest through the platform where you found this posting and include relevant background information and experience with data annotation or domain expertise.