Senior Content Reviewer
@ Mercor

Hybrid
$93,600
Hybrid
Contractor
Posted 5 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXX******* @mercor.com
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Job Details

Company Introduction

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.

Role Overview

Position: Human Data Project Expert – Contract, Remote Commitment: Flexible hours This role focuses on enhancing AI models' ability to generate effective responses to user-generated images and prompts.

Responsibilities

  • Develop detailed rubrics describing AI-generated responses to images.
  • Evaluate the effectiveness of AI model outputs for visual prompts.
  • Collaborate with AI research teams to improve content quality.
  • Work independently and asynchronously to meet project goals.

Requirements / Qualifications

Must-Have: Experience in evaluating AI-generated content, ability to write detailed evaluation rubrics, strong understanding of AI model outputs and their applications.

Preferred: Experience with AI research teams and background in STEM or related fields.

Engagement Details

Contract Type: Contract Location: Remote Schedule: Flexible hours

Application Process

The application process takes 20-30 minutes to complete and includes:

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

For interview process details, visit: https://talent.docs.mercor.com/welcome/welcome For help or support, email: support@mercor.com

Key skills/competency

  • AI evaluation
  • Content review
  • Rubric development
  • Remote work
  • Collaboration
  • Asynchronous work
  • STEM background
  • Contract role
  • Detail orientation
  • Flexible scheduling
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How to Get Hired at Mercor

🎯 Tips for Getting Hired

  • Customize Resume: Tailor it to highlight AI and content review expertise.
  • Research Mercor: Understand their mission and investor background.
  • Showcase Flexibility: Highlight remote work and independent success.
  • Prepare Examples: Be ready with real-life AI evaluation cases.

📝 Interview Preparation Advice

Technical Preparation

Review AI evaluation methodologies.
Study rubric design techniques.
Analyze AI model output examples.
Practice remote collaboration tools.

Behavioral Questions

Describe remote independent work experience.
Explain handling detailed evaluations.
Share rubric development challenges.
Discuss collaboration with diverse teams.

Frequently Asked Questions