Mercor

K-12 Education Expert

K-12 Education Expert

Global

Contract-based

Date Posted

Offered salary

$35-55 per hour

Closing date

Closing soon

Qualification

Not specified

Hiring location

Global

Experience

3+ Years

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, including IEP development, parent-teacher communication, curriculum alignment, and behavior intervention planning
• Annotate, label, and validate data across K-12 use cases such as differentiated instruction, grade level appropriateness, and formative assessment
• Provide structured feedback on AI accuracy in areas such as pedagogical best practices and education regulations
• Collaborate asynchronously with research teams to refine evaluation frameworks for K-12 education AI

Requirements
• 3+ years of professional experience in K-12 education (public, private, or charter)
• Background in classroom teaching, special education, student support services, school administration, district-level roles, instructional coaching, 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

How to Apply
Click "Apply" to be taken to the Mercor website. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs. Please note that this role cannot support H1B or STEM OPT candidates. Applying through our link supports WFH Bulletin as a referral partner, but you are welcome to apply directly if you prefer.

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Mercor

K-12 Education Expert

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.

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