About this role
Generative AI & RLHF
Remote Hourly · $75/hr
$75/hr
Compensation
Contract, part-time
Engagement
Remote
Location
Nov 7, 2026
Posted
Open to applicants in
United States
The work
Use your records-management, archival, information-management, collections, or library experience to help evaluate AI systems. Projects open periodically throughout the year.
- Write prompts based on records, archival, information-management, collections, or library work.
- Review AI responses for accuracy, relevance, and alignment with professional practices.
- Assess content involving archival records, classification systems, records databases, historical documents, and collection materials.
- Explain your decisions in clear, structured feedback and work independently in an asynchronous setting.
What it pays and takes
- Pay: Up to $75 per hour, depending on the project.
- Hours: 20+ hours per week; the work is remote, asynchronous, and has a flexible schedule.
- Location: Open to candidates in the United States.
- Language: Fluent in English.
- Experience: At least four years in records management, archival work, information management, collections management, or librarianship.
- Practical experience organizing archival records and supporting reliable access and retrieval.
- Familiarity with classification systems, records databases, reference services, or related information practices.
- Experience authenticating or appraising historical documents, cataloguing collections, preserving materials, or acquiring resources.
- Ability to assess field-specific content, explain your reasoning clearly, and work independently.
- Experience directing cataloguing or preservation work, coordinating educational programs, or providing reference services may be useful.
- No prior AI experience is required.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human-created examples and feedback to help AI systems learn. People with records and archival expertise can contribute by writing realistic prompts and judging whether responses reflect professional practices.
Requirements
- Languages: English