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Remote Prompt Engineering Jobs in Pittsburgh, PA

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... Experience in prompt engineering and leveraging LLMs to assist in code development and automated ...

Ectobox Inc

IIoT Engineer

Pittsburgh, PA · On-site +1

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... Experience in prompt engineering and leveraging LLMs to assist in code development and automated ...

Cybercoders

Senior AI/ML Engineer

Pittsburgh, PA · Remote

$101K - $139K/yr

Remote (MUST BE LOCATED IN CT/ET) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs ... Deep LLM engineering fundamentals : prompt design, RAG architectures, function-calling/tool use ...

Epistemix

AI Engineer

Pittsburgh, PA · Remote

Own the engineering solution and collaborate with internal teams to ensure alignment with company ... Prompt Optimization - Expertise in crafting, refining, and iterating prompts for optimal AI ...

All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Pittsburgh, PA

Remote Prompt Engineering information

See Pittsburgh, PA salary details

$16

$32

$46

How much do remote prompt engineering jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote prompt engineering in Pittsburgh, PA is $32.09, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $37.12 per hour, depending on experience, location, and employer.

How to make $1000 a week remotely?

Remote prompt engineering can generate $1000 or more weekly by freelancing on platforms like Upwork or Fiverr, building a strong portfolio, and offering specialized skills in AI and NLP. Consistent work, high-demand projects, and efficient time management are key to reaching this income level.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

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 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 are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

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.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek professionals skilled in designing effective prompts for AI language models. Demand for prompt engineers is increasing across industries such as technology, healthcare, and finance, often requiring knowledge of AI tools and natural language processing. The role is expected to remain relevant as AI adoption expands.

What jobs make $3,000 a day?

High-paying jobs such as remote prompt engineering, specialized consulting, or executive roles can earn $3,000 or more per day, especially for professionals with advanced skills, experience, and in-demand expertise. These roles often require strong technical knowledge, certifications, and the ability to deliver high-value services on a freelance or contract basis.

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 most commonly searched types of Prompt Engineering jobs in Pittsburgh, PA? The most popular types of Prompt Engineering jobs in Pittsburgh, PA are:
What are popular job titles related to Remote Prompt Engineering jobs in Pittsburgh, PA? For Remote Prompt Engineering jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Pittsburgh, PA look for? The top searched job categories for Remote Prompt Engineering jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Prompt Engineering jobs? Cities near Pittsburgh, PA with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $66,754 per year, or $32.1 per hour.

IIoT Engineer (Remote)

Ectobox Inc.

Pittsburgh, PA • Remote

$110K - $130K/yr

Full-time

Re-posted 19 days ago

Job description

Industry 4.0 Engineer

About Ectobox

Ectobox is a Pittsburgh-based remote industrial intelligence solutions company facilitating growth and efficiency in U.S. manufacturers through digital transformations. We are experts in manufacturing data architectures and MES solutions. In our solutions we use open technologies, integrate data with a structured Unified Namespace, focus on solving the business challenges first, and drive more value with less complexity. The result is real-time visibility for solving many plant challenges using a scalable and flexible solution.

About the Role

Ectobox is seeking an Industry 4.0 Engineer to manage technical delivery of advanced MES, IIoT, and real-time data integration solutions for global manufacturing clients. This role is ideal for developers who bring both deep technical implementation expertise and a passion for mentorship, system quality, and continuous improvement.

You will collaborate closely with solution architects, project managers, and client teams to deliver scalable, secure, and high-performing Industry 4.0 systems. This position blends hands-on development with engineering leadership, making it ideal for someone who wants to shape the execution layer of digital transformation.

Key Responsibilities

System Development & Delivery

  • Deliver project implementation and execution of scalable MES, SCADA, and data platform solutions across manufacturing sites using Industry 4.0 Event-Driven Architectural practices
  • Build real-time data flows using but not limited to Data Brokers (MQTT/Sparkplug B), SQL Databases, HighByte DataOps, Canary Labs Historian
  • Develop and maintain tag models, scripting logic, and visualization layers in platforms like Ignition or Litmus
  • Integrate, troubleshoot, and optimize performance across edge, broker, and cloud layers

Collaboration & Leadership

  • Work closely with Solutions Architects and Project Managers to ensure alignment between technical design and business objectives
  • Serve as a technical liaison across client stakeholders, operations, and technical teams
  • Lead debugging, performance tuning, and reliability improvements for complex MES/IIoT implementations

Mentorship & Standards Enforcement

  • Provide technical guidance to junior developers
  • Conduct code reviews, design feedback sessions, and pair programming as needed
  • Drive adoption of clean architecture, secure design patterns, and reusable integration components

Security & Compliance

  • Implement and enforce secure transport protocols (TLS), broker hardening, identity management, and secure edge connectivity
  • Ensure all integrations comply with internal standards and client IT/OT security policies

Knowledge Sharing & Continuous Improvement

  • Document lessons learned, reusable code modules, and tested integration patterns
  • Maintain internal libraries, best practice guides, and delivery templates for future reuse
  • Research and adopt emerging tools, protocols, and best practices within the UNS and Industry 4.0 space

Candidate Profile

  • 3-5+ years of experience in MES/IIoT/SCADA development or OT systems integration
  • Proven track record of delivering data-intensive solutions in manufacturing environments
  • Effective communicator across technical and non-technical teams
  • Skilled in code quality, documentation, and repeatable system design
  • Skilled in code design, build, and maintenance of software programs
  • Experience in prompt engineering and leveraging LLMs to assist in code development and automated daily tasks, including the creation of agents and sub-agents to achieve desired outcome
  • Formal education in engineering, computer science, or automation is preferred but we prioritize proven experience in delivering MES/IIoT solutions.
  • US-based; travel up to 30% as needed

Why Join Ectobox?

  • Work on high-impact projects for some of the world's most recognizable manufacturing brands
  • Gain deep exposure to leading-edge Industry 4.0 platforms and data infrastructure
  • Be part of a collaborative, supportive team that values innovation and professional growth
  • Help define delivery standards that will scale across dozens of sites and hundreds of production lines

Join us and start building your future in IIoT and digital transformation!