E-Solutions
HR Manager
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
United States
Work mode:
Onsite
Published on:
7 September 2026
What they need
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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