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Remote Prompt Engineering Jobs in Philadelphia, PA

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Lead the integration of LLMs via Azure OpenAI , focusing on prompt engineering, model parameter ... Flexible remote work arrangements Worker Type: Regular Number of Openings Available: 1

Abacum

AI Engineer

Barrington, NJ · Remote

Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token ... Self-motivated with the ability to work independently in a fast-paced, remote-first environment.

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... models and prompt engineering. Foundational ability to read and write Python for prototypes ... remote candidates will be considered. This role requires access to U.S. export-controlled ...

Xactus

AI Engineer

Broomall, PA · On-site +1

Share learnings on agent patterns and prompt engineering. QUALIFICATIONS: To perform this job ... The position may be remote from main offices. * May require flexibility in hours. PHYSICAL DEMANDS:

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Familiarity with LLMs, generative AI, and prompt engineering. * Exposure to AI use cases across ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Familiarity with LLMs, generative AI, and prompt engineering. * Exposure to AI use cases across ...

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

Remote Prompt Engineering information

See Philadelphia, PA salary details

$17

$33

$48

How much do remote prompt engineering jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote prompt engineering in Philadelphia, PA is $33.36, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $38.56 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 Philadelphia, PA? The most popular types of Prompt Engineering jobs in Philadelphia, PA are:
What are popular job titles related to Remote Prompt Engineering jobs in Philadelphia, PA? For Remote Prompt Engineering jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Philadelphia, PA look for? The top searched job categories for Remote Prompt Engineering jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Prompt Engineering jobs? Cities near Philadelphia, PA with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Philadelphia, PA as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $69,385 per year, or $33.4 per hour.

AI / ML Engineer

AssetWorks

Wayne, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Job Summary:

About the Role
We are looking for an AI/ML Engineer to lead the technical implementation of our generative AI roadmap. In this role, you won't just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.

Job Description:

What You'll Do
  • Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
  • Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
  • LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
  • Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
  • System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
  • Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For

Required:

  • AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
  • Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
  • Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
  • Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
  • Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
  • Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.

Nice to Have:

  • Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
  • Familiarity with Python for AI prototyping and data manipulation.
  • Experience with microservices architecture
  • Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
  • Familiarity with monorepo tooling
  • Experience mentoring or leading other developers

Benefits:

  • Generous Paid Time Off
  • 11 Paid Holidays
  • Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
  • 401k with employer match which immediately vests
  • Annual Company Bonus
  • Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
  • Tuition Reimbursement Program
  • Employee rewards and recognition programs
  • Optional Employee Stock Purchase Program with company match
  • Pet insurance
  • Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
  • Referral bonuses
  • Employee engagement events
  • Flexible remote work arrangements

Worker Type:

Regular

Number of Openings Available:

1

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