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Prompt Engineering Jobs in Worcester, MA (NOW HIRING)

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI · On-site

Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks) * Experience with RESTful APIs , API security, and integration patterns * Proficient in Docker , Git, and ...

Varsity Tutors

ChatGPT Tutor

Waltham, MA · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

Exposure to machine learning and AI technologies for automation and operational efficiency, including familiarity with Agentic AI concepts (LLMs, prompt engineering, vector databases, semantic search ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

Navtech, Inc.

AI Architect

Woonsocket, RI · On-site +1

GenAI models, AI pipelines, model fine-tuning, prompt engineering, RAG architectures, vector stores, MCP, AI-related frameworks (e.g. Langchain), AI agents (e.g. LangGraph), modern application ...

Cisco

Software Engineer, Backend

Newton, MA · On-site

$152K - $219K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

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Prompt Engineering information

See Worcester, MA salary details

$32.4K

$62.8K

$95.3K

How much do prompt engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for prompt engineering in Worcester, MA is $62,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $71,800.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are popular job titles related to Prompt Engineering jobs in Worcester, MA? For Prompt Engineering jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Worcester, MA look for? The top searched job categories for Prompt Engineering jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Prompt Engineering jobs? Cities near Worcester, MA with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Worcester, MA as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,840 per year, or $30.2 per hour.
Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

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

Brandeis University

Waltham, MA • On-site

$25 - $30/hr

Part-time

Posted 29 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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