Education Specialist - Curriculum Design for AI in Teaching

Obsidian; Boston (MA); On-site; USD 70,000 - 90,000; Full time

Job summary

Mercor partners with an AI lab to engage experienced educators across K-12 and higher education, focusing on teaching, curriculum design, assessment, and educational technology.

Contributors translate everyday workflows into high‑quality training data for AI systems by designing tasks, reviewing outputs, and providing actionable feedback to improve instructional AI performance.

Qualifications

• 3+ years of professional experience in education (K-12 or higher education).
• State teaching license or National Board Certification preferred but not required.
• Bachelor’s degree in Education or a subject‑matter field.
• Familiar with classroom and instructional tools (Google Classroom, Canvas, PowerSchool).
• Strong written communication and attention to detail.

Responsibilities

• Design realistic educational scenarios and tasks drawn from day‑to‑day work (e.g., lesson planning, assessment and item writing, grading against a rubric).
• Review AI‑generated educational outputs for accuracy, standards alignment, grade‑level appropriateness, and pedagogical soundness.
• Create structured examples reflecting how educators reason through problems.
• Provide clear written feedback that improves AI performance in teaching and instructional tasks.
• Collaborate asynchronously with the research team.

Skills

Strong written communication

Attention to detail

Education

Bachelor’s degree in Education or subject‑matter field

Advanced degree preferred (MEd/EdD/PhD or subject master’s)

Tools

Google Classroom

Canvas

PowerSchool

Job description

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.

Key Responsibilities

- 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

Ideal Qualifications

- 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 PowerSchool, assessment and curriculum platforms)

- Strong written communication and attention to detail

More About the Opportunity

- 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

Application Process

- Submit a resume or a short summary of your teaching or education experience

- Complete a short form on your field, specialties, and credentials

- Selected applicants may complete a brief sample task

- Follow-up typically provided within a few days