K-12 Education Expert

Role Overview

Mercor is partnering with leading AI labs to engage experienced K-12 educators, administrators, and specialists to improve AI systems' understanding of classroom instruction, school operations, and student development. Contributors will apply their expertise in areas such as lesson planning, differentiated instruction, special education, school leadership, and district-level policy to evaluate and enhance AI performance on K-12-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.

Key Responsibilities

• Review and evaluate AI-generated outputs related to lesson planning, student assessment, classroom management, and instructional design

• Create realistic scenarios based on K-12 workflows — IEP development, parent-teacher communication, curriculum alignment to standards, behavior intervention planning

• Annotate, label, and validate data across K-12 use cases (e.g., differentiated instruction, grade-level appropriateness, formative assessment)

• Provide structured feedback on AI accuracy in areas such as pedagogical best practices, state/federal education regulations (IDEA, Title I, ESSA), and age-appropriate content

• Collaborate asynchronously with research teams to refine evaluation frameworks for K-12 education AI

Ideal Qualifications

• 3+ years of professional experience in K-12 education (public, private, or charter)

• Background in one or more areas such as:

  • Classroom teaching (any subject/grade level)

  • Special education or student support services

  • School administration (principal, assistant principal, department head)

  • District-level roles (curriculum director, superintendent's office, HR)

  • Instructional coaching, professional development, or EdTech integration

• Strong analytical thinking and ability to translate classroom and school-level workflows into structured evaluation tasks

• Clear written communication and attention to detail

Compensation Note

• 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.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.