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Home Based Prompt Engineering Jobs in Boston, MA

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

Build RAG-based knowledge, search, document intelligence, and enterprise information solutions ... Implement prompt engineering, agent orchestration, and Generative AI capabilities using modern AI ...

New

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration ... Experience with cloud-based AI infrastructure (AWS, Azure, or Google Cloud Platform). * Familiarity ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

Hasbro

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation ... The hiring range will vary based on factors such as experience, skills, location and market ...

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All JobsHome Based Prompt Engineering JobsHome Based Prompt Engineering Jobs in Boston, MA

Home Based Prompt Engineering information

See Boston, MA salary details

$32K

$72K

$111.9K

How much do home based prompt engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for home based prompt engineering in Boston, MA is $71,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $90,700.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Prompt Engineering vs Remote AI Content Specialist?

AspectHome Based Prompt EngineeringRemote AI Content Specialist
Required CredentialsBasic understanding of AI prompts, no formal certification neededExperience in content creation, possibly some AI tool familiarity
Work EnvironmentHome-based, flexible hoursHome-based, project or task-based
Industry UsageAI development, chatbot training, prompt optimizationContent marketing, social media, digital content creation
Common Search IntentJobs involving AI prompt design from homeRemote content creation roles involving AI tools

Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.

Are home based prompt engineers still in demand?

Home-based prompt engineering is increasingly in demand as AI language models are integrated into various applications. Professionals with skills in prompt design, natural language processing, and familiarity with AI tools are sought after across industries, especially in remote work environments. The role often requires strong communication skills and knowledge of AI platforms like GPT or similar models.

What are the most commonly searched types of Prompt Engineering jobs in Boston, MA?

The most popular types of Prompt Engineering jobs in Boston, MA are:

What are popular job titles related to Home Based Prompt Engineering jobs in Boston, MA?

For Home Based Prompt Engineering jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Home Based Prompt Engineering jobs in Boston, MA look for?

The top searched job categories for Home Based Prompt Engineering jobs in Boston, MA are:

What cities near Boston, MA are hiring for Home Based Prompt Engineering jobs?

Cities near Boston, MA with the most Home Based Prompt Engineering job openings:

Home Based Prompt Engineering jobs near you

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 25 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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