Educational Consultant - Fully Remote

Role Overview

Mercor is collaborating with a leading AI lab to engage experienced educators across all areas of practice — including K-12 and higher-education teaching, curriculum development and instructional design, assessment and psychometrics, special education, tutoring and academic support, and educational technology. Contributors help build AI systems that reason about real educational work by translating everyday teaching, assessment, and instructional-design workflows, judgments, and decision-making into structured, high-quality training data.

• Design realistic educational scenarios and tasks drawn from your day-to-day work (e.g., lesson planning, assessment and item writing, grading against a rubric, differentiation and intervention, curriculum and unit design, IEPs and accommodations, student feedback)
• Review and compare AI-generated educational outputs for accuracy, standards alignment (e.g., Common Core, NGSS, state or discipline standards), grade-level appropriateness, and sound pedagogical judgment
• Create structured examples that reflect how educators actually reason through problems
• Provide clear written feedback that improves how AI performs teaching and instructional tasks
• Collaborate asynchronously with the research team

• 3+ years of professional experience in education (K-12 or higher-ed teaching, curriculum/instructional design, assessment, special education, tutoring, or a related field)
• A state teaching license/certification, National Board Certification, or an advanced degree (MEd/EdD/PhD or a subject master's) preferred, but not required
• Bachelor's degree in Education or a subject-matter field
• Comfortable with common classroom and instructional tools (e.g., Google Classroom, Canvas, an SIS such as Power School, assessment and curriculum platforms)
• Strong written communication and attention to detail

• Open to all education specialties and grade bands — contribute where your expertise is strongest
• Work spans task design, evaluation, and structured feedback on AI educational outputs
• Strong contributors advance into reviewer, lead, and domain-expert roles