General Expert Data Annotator

You will review and annotate text, documents, model outputs, and other data samples in a field where you have professional expertise. The duties and qualifications need review before applying.

• Evaluate content for accuracy, quality, and appropriateness using structured guidelines.
• Explain annotation decisions with clear reasoning and source citations.
• Flag ambiguous, inconsistent, or out-of-scope samples and document the issues.
• Record decisions consistently and maintain accuracy across substantial review workloads.

What it pays and takes

• Pay: $43 per hour.
• Hours: At least 20 hours per week; scheduling is flexible.
• Work arrangement: Remote, project-based contract work.
• Location: Open to candidates in eligible countries for this role.
• Language: Fluency in English.
• Required experience: At least three years of professional experience requiring specialized expertise, such as law, medicine, engineering, finance, science, or a related field.
• You should have strong analytical and critical-thinking skills, clear written communication, and the ability to work independently, follow detailed instructions, and apply quality standards consistently.
• Helpful: Previous experience in data annotation, content review, or AI model evaluation; familiarity with annotation tools; an advanced degree or professional certification; or experience writing professional analyses, research reports, legal memoranda, or technical documentation.

How it works

OpenTrain is a platform for finding AI training and data-labeling work and starting applications. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human review and examples to help build and assess AI systems. Professional expertise helps people make careful judgments on complex content and explain those decisions clearly.