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实验准备专员 - 完全远程 | 时薪最高$120

雇主

mercor

地点

远程 · 澳大利亚

待遇

A$USD 80 - USD 120 / hourly

工作模式

远程

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岗位摘要

About the jobMercor connects elite creative and technical talent with leading AI research labs.

岗位职责

About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Product launch / experiment readiness Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote
Role Responsibilities
Evaluate AI-generated artifacts against domain-specific quality rubrics.
Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
Provide clear, structured written feedback to improve AI model outputs.
Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
Work independently and asynchronously to meet deadlines while ensuring domain quality.
Qualifications
Must-Have
5+ years of relevant professional experience in Product launch / experiment readiness.
Native or professional fluency in English.
Highly proficient in Microsoft Office and Google Workspace, especially Slides.
Preferred
Advanced degree (Master's or higher) from a reputable institution.
Application Process(Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas

申请条件

5+ years of relevant professional experience in Product launch / experiment readiness
Native or professional fluency in English
Highly proficient in Microsoft Office and Google Workspace, especially Slides
Advanced degree (Master's or higher) from a reputable institution (preferred)
Ability to evaluate AI-generated artifacts against domain-specific quality rubrics
Ability to identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks
Ability to provide clear, structured written feedback to improve AI model outputs
Ability to apply deep subject-matter expertise to grade outputs for accuracy and rigor
Ability to work independently and asynchronously to meet deadlines while ensuring domain quality

雇主简介

Mercor connects elite creative and technical talent with leading AI research labs, providing AI safety evaluation services.

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数据来源:Himalayas

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