HR and People Operations AI Evaluation Expert
The work
You will help improve large language models by applying practical HR and People Operations knowledge. The work includes reviewing AI applications, spreadsheets, workflow logic, and operational reference materials.
You will turn HR policies into clear rules that AI systems and their builders can use. You will also review other contributors' work and approve outputs that meet professional HR standards.
- Set rules and safeguards for requisitions, headcount, compensation bands, PTO accrual and carryover, exempt and non-exempt classifications, and other People Operations processes.
- Check organizational charts, requisition lists, PTO ledgers, hiring pipeline stages, leave formulas, KPI metrics, and data-validation controls.
- Review headcount planners, hiring workflows, and timesheet trackers for accurate logic and reliable controls.
- Convert HR policies into spreadsheet formulas, validation rules, KPI definitions, and clear operational terms.
- Review peer deliverables before quality control and provide sign-off when the work follows professional HR practices.
What it pays and takes
This is a remote contractor engagement. The listing does not provide a pay rate. The role is marked entry level, but it requires substantial professional HR experience.
- Pay: Not provided in the listing.
- Schedule: 40 hours per week, including 8 hours of overlap with Pacific Time; part-time work may be acceptable.
- Engagement length: Up to 10 weeks.
- Availability: Weekend on-call availability is required.
- Work location: Remote and open worldwide.
- Language: English.
- Experience: At least five years in HR, People Operations, Talent Acquisition, or HR business partnering.
- Required knowledge: Applicant tracking systems, headcount planning, compensation bands, PTO or leave accrual rules, and organizational structures.
- Required skills: Clear professional writing, policy-to-formula translation, KPI definition, validation-rule creation, and peer review against strict professional standards.
- Education: A bachelor's degree or equivalent practical experience.
- Equipment: A reliable desktop or laptop and stable, high-speed internet.
- Helpful background: AI evaluation, data annotation, content review, quality assurance, or another analytical discipline.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that generate and understand text. People with professional expertise review model outputs and turn real-world knowledge into reliable examples, rules, and feedback that improve how these systems work.