Human Data Project Expert @ Mercor
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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
The role of Human Data Project Expert focuses on enhancing AI models' ability to generate effective responses to user-uploaded images and prompts, on a contract basis with flexible hours and remote work.
Responsibilities
- Develop detailed rubrics that describe 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, and a strong understanding of AI model outputs.
Preferred: Experience collaborating with AI research teams and a 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 resume upload, an AI interview based on your resume, and a submission form.
Resources & Support
For details about the interview process and platform information, please check this link. For help or support, contact support@mercor.com.
Key Skills/Competency
- AI Evaluation
- Rubric Development
- Content Analysis
- AI Model Understanding
- Research Collaboration
- Data Analysis
- Detail Orientation
- Remote Work
- Communication
- STEM Knowledge
How to Get Hired at Mercor
🎯 Tips for Getting Hired
- Research Mercor's culture: Study their mission, values, and latest news.
- Tailor your resume: Highlight AI evaluation and collaboration skills.
- Prepare for interviews: Practice discussing rubric development and remote work experience.
- Showcase technical acumen: Demonstrate understanding of AI outputs and research processes.