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Workbook Evaluator - Remote Contract Position

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
1周前
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, a San Francisco-based company that partners exceptional creative and technical professionals with top AI research laboratories, is seeking a Spreadsheet QA / Workbook Evaluator. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Key Responsibilities

  • Assess AI-generated spreadsheets, slide presentations, and documents according to specific quality standards.
  • Detect and document factual inaccuracies, design flaws, and formatting issues in various digital materials.
  • Deliver detailed, well-organized feedback to enhance the precision and quality of artificial intelligence outputs.
  • Engage closely with AI research teams to refine model effectiveness and improve the training datasets.
  • Operate independently and asynchronously to fulfill deliverables within set timelines.

Candidate Qualifications

  • Minimum of five years of experience in Spreadsheet Quality Assurance or workbook maintenance roles.
  • Fluent in English at a native or professional working level.
  • Strong expertise in Microsoft Office suite as well as Google Workspace applications, with emphasis on slide decks.
  • Preferred candidates hold advanced degrees (Master’s or above) from recognized institutions.

Additional Information

  • This is a contract role offering compensation ranging between $80 and $120 per hour.
  • The position is fully remote, with flexible asynchronous work to accommodate deadlines.
  • Application steps include uploading a resume, completing an AI-driven interview based on your resume, and submitting an application form.
  • For interview details and platform instructions, official resources are provided by Mercor.
  • For inquiries or assistance, candidates can contact support directly via email.
  • Mercor reviews applications daily; prompt completion of all application stages is recommended for consideration.

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