HR Specialist AI Trainer (People Operations)
About the role
In this role, you will work on cutting edge initiatives to fine tune large language models by grounding advanced People Operations and Human Resources domain logic. The ideal candidate possesses extensive experience in core HR processes—spanning requisition to hire pipelines, headcount planning, compensation banding, PTO accrual rules, and onboarding workflows—along with the ability to translate HR policy into deterministic spreadsheet logic and validation constraints. You will play a direct role in evaluating and refining AI generated tools, ensuring outputs match professional HR and talent operations standards.
What you'll do
- In this role, you will serve as the People Ops expert responsible for setting the benchmark for HR focused AI applications. Your day to day responsibilities will include:
- Authoring Skills & Guardrails: Defining discovery parameters (requisitions, headcount, comp, and leave rules) and guardrails (PTO accrual vs. carryover caps, exempt vs. non exempt distinctions, comp band midpoints) for AI builders and canvases.
- Context & Interview Co Design: Co designing interview workflows and validating context files, including org charts, requisition lists, and PTO ledgers.
- Grounding Golden Assets: Verifying pipeline stages, leave accrual formulas, KPI metrics, and validation dropdowns across flagship recipes like headcount planners, hiring kanbans, and timesheet trackers.
- Peer Review & Sign Off: Reviewing counterpart deliverables prior to QC and signing off to ensure outputs align with real world People Ops practices.
Requirements
- Core Experience: 5+ years in HR, People Operations, Talent Acquisition, or as an HR Business Partner (HRBP).
- Domain Expertise: Deep, hands on familiarity with applicant tracking systems, headcount planning, compensation bands, PTO/leave accrual rules, and organizational structures.
- Writing & Policy Translation: Strong, concise professional writing skills with a proven ability to translate complex HR policies into deterministic spreadsheet formulas, KPI definitions, and data validation rules.
- Collaborative Quality Control: Experience conducting peer reviews and calibrating deliverables against strict professional standards.
- Technical Infrastructure: Personal desktop/laptop equipped with a stable, high speed internet connection in a remote setup.
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
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