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

Brandeis University; Waltham (MA); On-site; USD 34,000 - 41,000; Part time

Job summary

Brandeis University’s Rabb School of Continuing Studies seeks a Micro-Credential Grader to evaluate learner submissions for the online program on Industry‑Focused Prompt Engineering for ROI‑Driven Results. The role emphasizes designing, testing, and refining prompts for large language models to support measurable business outcomes.

This part‑time, remote position (US‑based, up to 25 hours/week for 4 months) involves applying rubrics, providing constructive feedback, and collaborating with fellow

Qualifications

• 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.

Responsibilities

• Review 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.
• Evaluate reflections on prompt‑strategy effectiveness, ethical considerations, and organizational integration.
• Participate in calibration exercises with fellow graders, when necessary, to maintain consistency in grading strategic, technical, and business‑oriented artifacts.
• Maintain confidentiality and objectivity throughout the grading process.

Skills

Prompt engineering

LLM capabilities

Rubric-based assessment

Written communication

Asynchronous learning

Education

Bachelor’s degree

Master’s degree preferred

Tools

Moodle

Online credentialing platforms

Job description

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

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

Reports to: Assistant Dean of Education and Learning Innovation, Brandeis University

Compensation: Hourly $25–$30

Role Overview

As a Micro‑Credential Grader, you will evaluate learner submissions for the online Asynchronous Credential, Industry‑Focused Prompt Engineering for ROI‑Driven Results. Your assessment will focus on practical mastery of designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives.

Responsibilities

• Review 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.
• Evaluate reflections on prompt‑strategy effectiveness, ethical considerations, and organizational integration.
• Participate in calibration exercises with fellow graders, when necessary, to maintain consistency in grading strategic, technical, and business‑oriented artifacts.
• Maintain confidentiality and objectivity throughout the grading process.

Qualifications

• 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.

Pay Range Disclosure

The University’s 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 candidate’s 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").

Accommodations

Applicants who require accommodation in the job application process are welcome to contact Human Resources at 781‑736‑4474 or via email, [e-mail].

Background Check Policy

Certain positions at Brandeis University may require a background check.To review this policy, visit http://www.brandeis.edu/human-resources/onboarding/index.html