Seeking experienced linguists, instructional designers, and technical writers to create AI rater guidelines, evaluation rubrics, and annotation instructions that improve the consistency and quality of frontier AI training data.
Generalist for Data Annotation
Remote (Global)
$30 – $80/hr
July 10, 2026
Job description
Role Title: Generalist for Data Annotator
Role Type: Contractor
Location: Remote
micro1 is engaging Generalists for Data Annotation to support a customer's project focused on building high-quality datasets. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals who possess strong written and verbal communication skills and have foundational experience with data annotation across diverse domains.
Scope of Work
- Analyze and annotate a variety of data types according to detailed project guidelines.
- Apply critical thinking to ensure data labels are accurate, consistent, and relevant.
- Collaborate with project leads to resolve ambiguities and clarify annotation standards as needed.
- Document observations, edge cases, and potential improvements in annotation procedures.
- Contribute to the ongoing optimization of annotation processes by providing feedback and suggestions.
- Maintain a high standard of quality and attention to detail throughout all assigned tasks.
- Communicate regularly with project coordinators via written and verbal channels.
Preferred Qualifications
- Demonstrated experience in data annotation or a related field.
- Clear and effective written and verbal communication abilities.
- Strong attention to detail with a commitment to accuracy.
- Flexibility to adapt to evolving project guidelines and task types.
- Ability to work independently and manage deliverables remotely.
- Generalist mindset, comfortable with handling a wide range of content and annotation scenarios.
- Prior exposure to collaborative projects or remote professional engagements.
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