Marketing Analytics AI Research Contributor

Aptura; United States; Remote; USD 27.000 - 46.000; Teilzeit

Zusammenfassung

Aptura is seeking Subject Matter Experts in marketing analytics to craft and test realistic Excel tasks for evaluating AI performance on CAC, attribution, and campaign analyses. You will leverage your own work experience to build tasks, extend models, and specify precise yes/no criteria for scoring.

The role is fully remote, independent contractor-based, with weekly payments and an onboarding process that ensures task briefs and inputs are human-built and data-sanitised.

Qualifikationen

• 3+ years in marketing analytics, growth or performance marketing.
• Deep hands-on Excel: CAC payback, data cleaning and reshaping, pivot tables and chart selection.
• Strong written English communication skills.
• Attention to detail, and willingness to learn concepts in AI and Evals

Aufgaben

• 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

Kenntnisse

Marketing analytics experience

Strong written English communication

Attention to detail

AI concepts learning willingness

Tools

Excel

Pivot tables

Jobbeschreibung

About the Role

Aptura is looking for Subject Matter Experts from marketing analytics, across paid, organic or lifecycle channels, who build CAC, attribution and campaign performance analyses 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 Marketing 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 marketing analytics, growth or performance marketing, covering paid, organic or lifecycle channels for B2B or B2C businesses




• Deep hands-on Excel: CAC payback, data cleaning and reshaping, pivot tables and chart selection




• 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

• 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.