Job Overview
Job description
- Salary:
- USD 50 per hour
- Location:
- Canada
- 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: Energy/Utilities — 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 Energy/Utilities domain.
Author complex, grounded tasks with clear ground-truth outputs and objective rubrics.
Review and improve AI model outputs to ensure alignment with domain principles.
Provide structured feedback to enhance training data quality and model performance.
Collaborate with subject matter experts to ensure consistency and coverage across datasets.
Work independently and asynchronously to meet deadlines and improve AI model performance .
Requirements
- Expertise in visual document understanding.
- Strong background in the Energy/Utilities domain.
- Ability to work independently and asynchronously .
- 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:
- Utilities Expert - 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