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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

We are seeking experienced HR & Talent Specialists to help train advanced AI systems. You will create, evaluate, and refine high-difficulty tasks involving talent acquisition, total rewards, organizational development, L&D partnerships, and specialist HR workflows. You will ensure outputs are accurate, practical, and aligned with enterprise-grade HR practices, regulatory standards, and strategic business needs.

Requirements

8–15 years of professional experience in a specialized HR domain (e.g., Talent Acquisition, Total Rewards, HR Business Partnering, or L&D Partnerships).
Deep domain expertise in designing and executing specialized HR workflows, compensation/benefits structures, talent pipelines, and employee engagement programs.
Relevant professional HR certifications (e.g., SHRM-SCP, SPHR, CCP, or equivalent) are strongly preferred.
Strong ability to evaluate, calibrate, and author complex HR scenarios, strategic policy frameworks, and gold-standard evaluation rubrics.

Responsibilities

In this role, you will be part of a specialized functional pod responsible for creating high-quality training and evaluation data for AI models. Your day-to-day responsibilities will include:

Producing high-difficulty expert tasks and gold-standard solutions in specialized HR workflows, talent acquisition, total rewards, and program design that meet the pod's quality bar.
Authoring realistic task scenarios involving complex HR policy creation, compensation/benefits modeling, talent acquisition strategies, and performance management frameworks.
Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.
Reviewing and calibrating team members' output to maintain high accuracy and own day-to-day quality standards across the functional area.
Verifying that all created HR scenarios, regulatory policies, and talent frameworks are accurate, practical, and solvable using established industry standards.
Escalating genuine edge cases and rubric ambiguities to the Functional SME Lead while ensuring consistent alignment with project guidelines and milestone deadlines.

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: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
Engagement type: Contractor
Engagement Length: 8 weeks

Evaluation Process -

Shortlisted candidates will be sent a Job Interest Form.
Final selected candidates will be contacted with the next steps and onboarding requirements.

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