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Assistant Prompt Engineering Jobs in Massachusetts

Eastern Bank

AI Engineer

Wakefield, MA · On-site

$72K - $110K/yr

Create scalable retrieval-augmented generation (RAG) pipelines and prompt-engineering frameworks ... Support AI Governance & Administration * Assist in establishing governance processes for enterprise ...

JLL

Senior Software Engineer, AI Platforms

Boston, MA · On-site

$133K - $175K/yr

Implement prompt engineering and optimization strategies to improve intelligent assistant interactions and AI-powered applications. * Lead maintenance, bug fixing, troubleshooting, and enhancements ...

Vrtx

Principal Engineer, AI Authoring

Boston, MA · Hybrid

$166K - $250K/yr

... assist in document creation. * Engineer the data connectors and transformations required to feed ... Expertise in prompt engineering, retrieval pipelines, and modular AI system design. * Strong ...

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Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in Massachusetts? The most popular types of Prompt Engineering jobs in Massachusetts are:
What are popular job titles related to Assistant Prompt Engineering jobs in Massachusetts? For Assistant Prompt Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Assistant Prompt Engineering jobs in Massachusetts look for? The top searched job categories for Assistant Prompt Engineering jobs in Massachusetts are:
Assistant Prompt Engineering jobs near you
Infographic showing various Assistant Prompt Engineering job openings in Massachusetts as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

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

Brandeis University

Waltham, MA • On-site

$25 - $30/hr

Part-time

Re-posted 10 days ago

Job description

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 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.
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
  • 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").

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