Temporary Micro-Credential Grader – Industry-Focused Prompt Engineering for ROI-Driven Results Job at Brandeis University

Job Description

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. In this fully remote, short-term hourly position, you’ll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you’ll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning. This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.

Job Responsibility

Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases
Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification
Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration
Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts
Maintain confidentiality and objectivity throughout the grading process

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
Professional, learner-centered approach with a commitment to academic integrity and continuous improvement
Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions
Strong attention to detail and ability to maintain consistency across diverse learner artifacts
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

Nice to have

Experience in academic assessment, workforce development, or digital learning preferred
Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows

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

Job Description

Job Responsibility

Requirements

Nice to have

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