Location: Fully remote (U.S.-based applicants only no visa sponsorships)
Division: Rabb School of Continuing Studies Brandeis University
Type: Part-Time 4 months varying hours no more than 25 hours per week
Compensation: Hourly $25$30
Reports to: Assistant Dean of Education and Learning Innovation

Brandeis Universitys 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 youll 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 youll 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.

What You Will Do

• 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.

What You Bring

• Bachelors degree required; Masters 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.

Pay Range Disclosure

The Universitys pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position the candidates work experience and education/training internal peer equity and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race color ancestry religious creed gender identity and expression national or ethnic origin sex sexual orientation pregnancy age genetic information disability caste military or veteran status or any other category protected by law (also known as membership in a protected class).