Temporary Micro-Credential Grader – Industry-Focused Prompt Engineering for ROI-Driven Results

Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results. The role involves evaluating learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives.

Requirements

• Bachelor’s degree required; Master’s degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.
• Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.
• Experience in academic assessment, workforce development, or digital learning preferred.
• Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
• Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.

Benefits

• Hourly $25–$30
• Part-time, 4 months, varying hours, no more than 25 hours per week