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Aptura

FP&A AI Research Contributor

Posted 16 minutes ago
2-5 years experience
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AI Summary

The contributor will design realistic FP&A tasks based on professional experience to test AI performance. They are also responsible for creating precise yes-or-no grading criteria to evaluate AI outputs.

About the Role

Aptura is looking for Subject Matter Experts from FP&A to capture their expertise 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 tasks that test how well AI does the work of an FP&A Analyst.

Responsibilities

  • Writing realistic tasks drawn from your own work. We will share the guidelines and extend support on how to do it.

  • 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 FP&A

  • Deep hands-on Excel: budgets and forecasts, variance analysis, three-statement models, driver-based models, scenario and sensitivity analysis, and financial functions

  • 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 done weekly following task completion.

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.

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