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Remote Prompt Engineering Jobs in Grafton, MA (NOW HIRING)

YO AI Labs

Design Expert - Remote

Boston, MA · On-site +1

$30 - $70/hr

Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping ... engineer/vibecoder. * Experience at a product- or design-focused company, startup, or notable ...

Kemper

Guidewire Developer-ClaimCenter

Boston, MA · On-site +1

$59.25 - $78.25/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

Overture Partners

Zscaler Security Analyst

Boston, MA · On-site +1

$45 - $50/hr

... remote access environment built on Zscaler. This position is ideal for someone with hands-on ... engineers, you will contribute to ongoing platform enhancements while ensuring users receive prompt ...

Indico Data

Solutions Architect

Boston, MA · Remote

$110K - $130K/yr

This is a Remote (work from home) position. Experience Required: 4+ years About the Position As a ... Partner closely with other teams at Indico-Product, Engineering, R&D, Customer Success, and Sames ...

Indico Data Solutions, Inc

Solutions Architect

Boston, MA · On-site +1

$110K - $130K/yr

This is a Remote (work from home) position. Experience Required: 4+ years About the Position As a ... Partner closely with other teams at Indico-Product, Engineering, R&D, Customer Success, and Sames ...

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All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Grafton, MA

Remote Prompt Engineering information

See Grafton, MA salary details

$17

$33

$48

How much do remote prompt engineering jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote prompt engineering in Grafton, MA is $33.48, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $38.70 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What cities near Grafton, MA are hiring for Remote Prompt Engineering jobs?

Cities near Grafton, MA with the most Remote Prompt Engineering job openings:

Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Grafton, MA as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,631 per year, or $33.5 per hour.

Design Expert - Remote

YO AI Labs

Boston, MA • On-site, Remote

$30 - $70/hr

Contractor

Posted 12 days ago

Job description

Design Expert

Job Type: Contractor
Location: Remote
Schedule: Flexible / Self-Directed

Job Overview

We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration.

Experts may contribute to either or both tracks:

  • Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping.
  • Design: Product design, UX/UI, design systems, component libraries, research, and usability.

No formal credential is required; demonstrated expertise and shipped work are highly valued.

Key Responsibilities
  • Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration.
  • Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit.
  • Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms.
  • Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies.
  • Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports.
  • Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work.
  • Collaborate on task refinement and evaluation standards.
Required Skills
  • Product Design
  • UX/UI Design
  • Rapid Prototyping
  • Design Systems
  • Vibecoding / AI-Assisted Development
  • Human-Centered Design
  • User Research & Usability Testing
  • Figma / Prototyping Tools
  • Design Critique
  • Product Judgment
  • AI-Assisted Coding
  • Evaluation & Rubric Development
Preferred Qualifications
  • 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder.
  • Experience at a product- or design-focused company, startup, or notable independent product.
  • Direct ownership of shipped product designs, design systems, or AI-assisted development workflows.
  • Strong fluency with relevant design or AI development tools.
  • Portfolio of shipped work strongly preferred.
  • Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus.
Contract & Payment
  • Independent contractor engagement.
  • Fully remote with a flexible schedule.
  • Project duration may vary based on business needs and performance.
  • Weekly payments via Stripe or Wise based on services rendered.
Screening Questions
  1. How many years of product design, UX/UI, or AI-assisted development experience do you have?
  2. Which track do you specialize in: Vibecoding, Design, or both?
  3. What products, design systems, or AI-assisted workflows have you shipped?
  4. Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)?
  5. Do you have a portfolio of shipped work?
  6. What experience do you have creating design critiques, rubrics, or evaluation frameworks?
  7. How soon can you start?