Job Overview
Job description
- Salary:
- USD 50 per hour
- Location:
- United States
- Work arrangement:
- Remote
Role Summary
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: Logistics & Supply Chain — Visual Document Understanding
- Type: Contract
- Compensation: $50/hour
- Location: Remote
- Commitment: 15–20 hours/week
- Role Responsibilities
Evaluate the accuracy and depth of AI models in visual document understanding within the Logistics & Supply Chain domain.
Author complex, grounded tasks with clear ground-truth outputs and objective rubrics.
Collaborate with AI research teams to improve model outputs and training data quality.
Work independently and asynchronously to meet project deadlines while enhancing AI model performance .
Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
Requirements
- Expertise in Logistics & Supply Chain domain.
- Strong skills in AI model evaluation and visual document understanding .
- Ability to work independently and manage remote collaboration.
- 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:
Additional Information
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
- Role:
- Supply Chain Specialist - Fully Remote | Upto $50/hr Part-time
- Job Type:
- Full Time
Company profile
mercor
mercor.comMercor is an AI data company that connects domain experts across hundreds of professional fields with frontier AI labs and enterprises. Experts on its platform train and evaluate AI models, and its APEX benchmark family measures how AI performs on real-world professional work. Mercor Enterprise helps large companies capture how their most skilled people work and turn that expertise into AI agents. Founded in 2023, the company has offices in San Francisco, NYC and London.
- Founded
- 2023
- Funding Stage
- Series C