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Education Technology Consultant - Fully Remote | Upto $1000 Part-time

Mercor
locationSan Francisco, CA, USA
PublishedPublished: 6/14/2022
Technology

Job Description

Job Description

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 Technology Expert
Type: Contract
Compensation: $850–$1,000 per completed task
Location: Remote

Role Responsibilities

  • Build a realistic digital workspace centered on the Drive folders you use daily. Include product specs, learning-design docs, assessment rubrics, engagement reports, integration plans, PD materials, and email threads. Represent platforms like Google Classroom, PowerSchool, and Google Forms.
  • Design multi-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully.
  • Collaborate with other education-technology experts to design the environment, shape task scope, and review scenarios for realism and rigor.
  • Work asynchronously with research teams to refine task designs and evaluation criteria for ed-tech agent benchmarks.
  • Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems.

Qualifications

Must-Have

  • 3+ years of full-time experience at a Fortune 500 ed-tech company, R1 university, or major K-12 district/state-level education agency.
  • Background in LMS administration, educational product management, learning engineering, instructional design, learning analytics, assessment design, adaptive-learning platforms, or district-level ed-tech leadership.
  • Compliance with student-data regulations (FERPA, COPPA) and accessibility (WCAG, Section 508).
  • Day-to-day use of Google Classroom, PowerSchool, Infinite Campus, and Google Forms.
  • Strong analytical thinking and writing. Able to translate ed-tech workflows into structured task specs.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality (~$850–$1,000 per completed task, subject to change as the project evolves).
  • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
  • Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

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

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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