Education Expert - Fully Remote | Upto $60/hr Part-time
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- AI-Evaluation, Edtech, AI-Training-Data, Content-Quality-Assurance, Education-Content-Development, Remote-Education-Jobs, Part-Time-Education-Specialist, Remote-Education-Consultant, Remote-Education-Specialist, Remote-Educational-Consultant, Education
- Source
- himalayas
- First observed
- 2026-08-22 11:58 UTC
- Last seen
- 2026-08-22 11:58 UTC
- Source claims posted
- 2026-08-22 11:24 UTC
- Consecutive misses
- 0 of 10
What the posting says
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: Education — Visual Document Understanding
Type:Contract
Compensation:$60/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
Author complex, grounded tasks with clear ground-truth outputs and objective rubrics.
Evaluate AI models on visual document understanding and instruction-following in the Education domain.
Develop and refine evaluation rubrics to assess AI-generated educational content.
Collaborate with subject matter experts to ensure task relevance and accuracy.
Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
Expertise in visual document understanding.
Strong background in the Education domain.
Ability to work independently and remotely.
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
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#269484 2026-08-22 11:58 UTCPublished