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HR Manager

E-Solutions

RemoteFull timeMid levelPosted today
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About the role

Requirements

  • 3–15 years of professional experience in HR management, HR Business Partnering (HRBP), or HR generalist/specialist roles (level/tier determined by experience).
  • Proven experience developing HR policies, managing employee relations, designing organizational structures, and partnering with business leaders.
  • Strong understanding of labor compliance, performance management systems, talent retention strategies, and HR operations.
  • Professional HR certifications (e.g., SHRM-CP, SHRM-SCP, PHR, SPHR, or regional equivalents) are strongly preferred.
  • Ability to author realistic HR scenarios, employee policy frameworks, process workflows, 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 expert-level tasks and gold-standard solutions in HR strategy, policy creation, employee relations, and organizational design that meet the pod's quality bar.
  • Authoring realistic task scenarios involving complex workplace situations, HR process workflows, organizational restructures, and policy implementation.
  • Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.
  • Working under senior review to incorporate calibration feedback and iterate on outputs (Senior levels will also review and calibrate team members' output to own day-to-day quality).
  • Verifying that all created HR policies, employee relations scenarios, and organizational frameworks are accurate, practical, and aligned with real-world enterprise standards.
  • Escalating genuine edge cases and rubric ambiguities to the Functional SME Lead while ensuring consistent alignment with project guidelines, quality benchmarks, 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.

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