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People Operations AI Research Contributor
Job in
Austin, Travis County, Texas, 73301, USA
Listed on 2026-11-01
Listing for:
Aptura
Full Time
position Listed on 2026-11-01
Job specializations:
-
Business
AI Evaluation
Job Description & How to Apply Below
Aptura is looking for Subject Matter Experts from people ops, HR or workforce planning, across headcount, compensation or org design, who build headcount plans, comp models and people analytics in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the work of a People Ops Analyst.
Responsibilities- Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief
- Working through each task yourself so there is a clear, correct answer
- Writing yes-or-no criteria precise enough that a grader can mark any attempt against them
- 3+ years in people operations, HR analytics, total rewards or workforce planning, covering headcount, compensation, benefits or org design
- Deep hands-on Excel: headcount and comp models, named ranges, multi-criteria lookups, pivot tables and conditional formatting
- Strong written English communication skills.
- Attention to detail, and willingness to learn concepts in AI and Evals
- Start Date :
Immediate - Duration:
Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project.
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments will be weekly following task completion.
Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.
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