HR and People Operations Expert, AI Benchmark Design

You will turn real HR and people operations work into difficult, multi-step benchmark tasks that test whether AI systems can follow policies, interpret documents, and make sound judgments. The work focuses on payroll, workforce planning, policy application, and employee lifecycle processes.

• Design benchmark tasks based on practical HR workflows.
• Create or source HR policies, payroll reports, headcount data, employment agreements, and other supporting materials.
• Write clear instructions and objective grading standards for AI-generated outputs.
• Build tasks that require judgment and careful interpretation rather than simple information lookup.
• Identify tasks that are too ambiguous or cannot be graded reliably.
• Deliver approved work at the required quality level.

This is part-time contractor work for candidates in the listed countries across North America, South America, Europe, Africa, Asia, and the Middle East. The role requires practical HR experience and strong English communication.

• Pay: $45 to $90 per hour.
• Time: Less than 20 hours per week.
• Work type: Part-time contractor role.
• Location: Open to candidates in the listed countries across multiple global regions.
• English: Strong written and spoken English at B2 level or higher.
• Experience: At least five years of hands-on responsibility in payroll, workforce planning, HR policy, or employee lifecycle operations.
• Required background: Experience creating or applying structured standards such as HR policies, payroll checklists, process documentation, compliance frameworks, or training assessments.
• Skills: Comfort working with spreadsheets, reports, and policy documents at the same time, plus sound judgment when turning HR workflows into objective evaluation tasks.
• Helpful: SHRM, CIPD, PHR, or an equivalent HR certification. Experience with AI or large language model evaluation is useful but not required.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. People create examples, review model responses, and set clear standards so AI systems can handle real-world tasks more accurately; subject-matter experts are especially valuable when the work requires professional judgment.], bullets