About the Role
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
Necessary Qualifications
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
Additional Information
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.
Contract and Payment Terms
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.
Getting Started
Apply with your details and CV. Choose an available 30-minute group walkthrough call.
Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory.
Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed.
We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you.
Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal.
About Aptura
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.
Summary
Build realistic Excel tasks drawn from people operations work including headcount plans, comp models and people analytics to test frontier AI. Requires 3+ years in people operations, HR analytics, total rewards or workforce planning and deep hands-on Excel with lookups, pivot tables and formatting.
Responsibilities
Writing realistic Excel tasks from own work: extending, fixing and building models; Working through each task for clear correct answer; Writing yes-or-no criteria for grading attempts
Qualifications
3+ years in people operations, HR analytics, total rewards or workforce planning; 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
Experience requirements
3+ years in people operations, HR analytics, total rewards or workforce planning, covering headcount, compensation, benefits or org design
Interview process
Choose 30-minute group walkthrough call; create one original task with brief and input workbooks; task run against AI models; write yes-or-no rubric and reviewer sign-off; selection subject to written approval
How to apply
Apply with your details and CV; choose 30-minute group walkthrough call; submit brief and human-built input workbooks; input-file uploads compulsory