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Workbook Evaluator (Spreadsheet QA) - Remote Contract Opportunity

Mercor

Remote 兼职

抢先申请

经验
5年以上
薪水
USD 80 – USD 120 / hour
职位空缺
1
发布
5天前
工作模式
在家办公
学历
Master's degree (preferred)
恢复
需要申请

职位描述

About the Role

Mercor partners elite creative and technical talent with premier AI research organizations. Operating from San Francisco, the company boasts backers like Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position Details

This contract position focuses on evaluating AI-generated artifacts, emphasizing spreadsheets and workbook quality assurance in a remote setting. Compensation ranges from $80 to $120 per hour.

Core Responsibilities

  • Assess AI-created documents, spreadsheets, and presentations against specialized quality criteria.
  • Detect and flag factual inaccuracies, design inconsistencies, and presentation flaws.
  • Deliver precise, well-structured critiques to enhance AI output accuracy and thoroughness.
  • Collaborate closely with AI research teams to refine model performance and improve training datasets.
  • Operate autonomously and manage time effectively to fulfill deadlines and provide thorough evaluations.

Qualifications

  • Minimum of five years' relevant experience in spreadsheet quality assurance or workbook maintenance.
  • Fluency in English at a native or professional level.
  • Strong expertise in Microsoft Office Suite and Google Workspace applications, particularly Google Slides.

Preferred Qualifications: Candidates holding a master's degree or higher from a recognized institution are favored.

Application Process

  • Submit an updated resume.
  • Complete an AI-driven interview based on your resume.
  • Fill out and submit the application form.

Additional Resources and Support

  • Detailed information about the interview process and platform can be found through Mercor's official resources.
  • For inquiries or assistance, applicants can contact support via email.

Note: The recruitment team reviews applications daily; timely completion of all application steps is essential for consideration.

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