"Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professionals"

Brandeis University’s Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.

In this fully remote, short-term hourly position, you’ll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you’ll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.

This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.

• Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.
• Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.
• Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.
• Maintain confidentiality and objectivity throughout the grading process

• Bachelor’s degree required; Master’s degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.
• Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.
• Experience in academic assessment, workforce development, or digital learning preferred.
• Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
• Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.
• Strong attention to detail and ability to maintain consistency across diverse submissions.
• Excellent written communication skills for delivering constructive, learner-focused feedback.
• Comfortable working in asynchronous learning environments and using digital platforms.
• Adaptability in managing multiple grading tasks within deadlines.