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HR & People Operations Expert

micro1 Micro1 Part-timeRemote, global Typical on Micro1: $25–120/hr
Posted Oct 24, 2026 · ✓ Still open — checked 9 minutes ago

Quick facts

Pay
up to $90 / hour
Type
Part-time
Location
Remote, global
Platform
Micro1 — 275 open jobs
Typical pay at Micro1
$25–120/hour · median $90 (28 jobs on our site)
Payout
Deel (twice a month)
Apply
Free to apply — never pay to get AI training work

pay

Required Skills
Payroll and Lifecycle Operations
Objective Grading Criteria
Turning Real HR Work Into a Defined Task
Policy Application in Edge Cases
Working Across Documents
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: HR & People Operations Expert

Role Type: Contractor

Location: Remote, global

Opportunity Snapshot

Pay: Up to $90/hour equivalent

Time per task: ~10 hours per task

Location: Fully remote — no geographic restrictions. Strong English required (B2 minimum, C1 preferred)

Next step: Complete the role-specific AI interview — it’s how your expertise gets in front of the client

Your tasks: Design realistic, multi-step HR and people operations tasks with objective criteria for grading the output

micro1 is engaging experienced HR and people operations practitioners to design the tasks that measure what AI systems can actually do. Your domain knowledge is what matters here — no prior AI experience required.

The work is to turn real HR workflows into benchmark tasks: realistic, difficult, and gradable against objective criteria. If you’ve written a policy, built a payroll checklist, or trained someone to handle employee cases against a standard, that’s the instinct this needs.

Scope of Work

Design multi-step tasks drawn from real HR work — payroll operations, workforce planning, policy application, employee lifecycle processes — with realistic reference files and clear instructions.
Define objective grading criteria so two qualified reviewers would reach the same verdict on the same output.
Build tasks that require judgment rather than lookup: ones where the right answer depends on reading the materials correctly.
Create or source the supporting materials each task needs: policy documents, payroll reports, headcount data, employment agreements.
Flag tasks that turn out to be ambiguous or ungradable instead of submitting them anyway.
Deliver approved tasks on schedule and at the required quality level.

Preferred Qualifications

5+ years of hands-on responsibility in payroll, workforce planning, HR policy, or employee lifecycle operations — direct ownership of the work, not supervisory-only or adjacent exposure.
Experience creating or applying structured standards: HR policies, payroll checklists, process documentation, compliance frameworks, or training assessments.
Comfortable working across spreadsheets, reports, and policy documents at the same time.
HR certification (SHRM, CIPD, PHR or equivalent) is a plus, but not required.
Strong English, written and spoken — B2 minimum, C1 preferred.
AI or LLM evaluation experience is a plus, but not required.

How the selection process works

Apply and complete the screening questions
Complete the AI interview for this role — even if you’ve interviewed with us before, a role-specific interview is how we showcase your domain expertise to the client, and it gives you the strongest shot at being selected
Profile review
Onboarding — our Talent Ops team will get you set up
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.