HR & People Ops SME

About Turing:Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

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.

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.

Responsibilities

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.

Education & Experience

• 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.

Offer Details

• Commitments Required: 40 hours per week with 8 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: upto 2 weeks
• Availability: Talent must have weekend on-call availability (part-time engagement is acceptable).

Evaluation Process -

• Shortlisted candidates will be sent a Job Interest Form .
• Finalized talents will go through delivery interview & proceeded further accordingly.

Where you can work

This role is 100% remote: you can work from anywhere in the world.