datamundi

datamundi

Education Subject Matter Expert-SME

New York, New York, United States · Contract

Sponsorship not specified$10k-$20kDetected 20 days ago
Machine LearningLLMsResearchCommunicationCollaboration

About the role

  • Your goal is to ensure the highest levels of pedagogical accuracy, grade-level appropriateness, content alignment with established curricula, and effective knowledge transfer within the AI's output.

Responsibilities

  • Knowledge Architecture: Develop knowledge bases, academic taxonomies, and ontologies that reflect multi-disciplinary standards and complex curricular hierarchies.

Requirements

  • Communication: Exceptional writing and verbal skills, with the ability to bridge the gap between technical AI teams and pedagogical/academic stakeholders.
  • These datasets will train and test the model's ability to act as a competent and helpful Educator, Curriculum Designer, or Academic Researcher.

Nice to have

  • Teaching certification or equivalent experience is a plus.
  • Familiarity with Generative AI concepts, prompt engineering, and data preparation is a plus.

Skills

  • Hello Everyone,
  • Please find the details below.
  • The goal is to construct high-quality datasets that represent realistic, end-to-end educational workflows and professional skills.

Compensation

  • $10k-$20k

Benefits

  • Data Validation: Annotate, label, and validate datasets with specific educational knowledge (e.g., curriculum mapping standards, clear learning objectives, and appropriate complexity for target audiences).
  • Business Alignment: Partner with product teams to align AI capabilities with educational objectives, such as automating curriculum alignment or supporting personalized learning.
  • Professional Watch: Stay current with emerging trends in Educational Technology (EdTech) and learning science research to ensure ethical and effective model implementation.
  •  Schedule Flexibility: Hours are flexible however are expected to be available during the regular business hours for the collaboration discussions with researchers and project managers.

This listing is sourced directly from datamundi's careers page and normalized into a canonical job model.