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Remote Prompt Engineer Jobs (NOW HIRING)

... regressions, prompt drift, and model performance degradation * Work independently in a remote ... Strong programming skills in Python and/or TypeScript/JavaScript; comfortable building both backend ...

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Senior AI Engineer

$107K - $146K/yr

Our lean structure and remote team mean we can move fast while still delivering top-notch ... Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering ...

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... Improve accuracy by employing systematic experimentation, prompt engineering, data and training ...

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

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

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

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$110K - $152K/yr

Portland, OR (Hybrid Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$111K - $152K/yr

Portland, OR (Hybrid - Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

ML Engineer

Dallas, TX · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$110K - $152K/yr

Portland, OR (Hybrid - Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

ML Engineer

Denver, CO · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Develop prompt engineering, retrieval, and agentic workflows. * Fine-tune and evaluate LLM ...

This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ... Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve ...

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

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Remote Prompt Engineer information

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How much do remote prompt engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for remote prompt engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

Is prompt engineer a remote job?

Prompt engineering is often a remote role, especially as many companies seek flexible work arrangements for AI and machine learning specialists. It typically involves working with AI models and requires skills in natural language processing, with many positions offering fully remote options. However, some roles may require on-site presence depending on the employer.

What is a Remote Prompt Engineer job?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What does a typical workday look like for a Remote Prompt Engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

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

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

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 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.

How can I make 2000 a week working from home?

A remote prompt engineer can earn $2000 a week by taking on multiple freelance or contract projects that require designing and refining AI prompts, often through platforms like Upwork or Fiverr. Building specialized skills in AI, natural language processing, and prompt optimization, along with a strong portfolio, can help secure higher-paying opportunities and consistent income.

How to make $1000 a week remote?

A remote prompt engineer can earn $1000 a week by working on multiple freelance projects, building a strong portfolio, and developing specialized skills in AI and natural language processing. Consistent client acquisition, efficient time management, and leveraging platforms like Upwork or Fiverr can help reach this income level. Certifications in AI or related fields can also enhance earning potential.
More about Remote Prompt Engineer jobs
What cities are hiring for Remote Prompt Engineer jobs? Cities with the most Remote Prompt Engineer job openings:
What are the most commonly searched types of Prompt Engineer jobs? The most popular types of Prompt Engineer jobs are:
What states have the most Remote Prompt Engineer jobs? States with the most job openings for Remote Prompt Engineer jobs include:
Infographic showing various Remote Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

Full-time

Posted 28 days ago


Job description

At Portless, we specialize in global delivery solutions for SMBs and enterprise merchants, enabling businesses to ship direct-from-factory from manufacturing hubs like China to destinations worldwide. As an AI Engineer, you will own the design, development, and deployment of AI-powered systems that make our operations faster, our team smarter, and our merchants more successful - from intelligent automation and agentic workflows to LLM integrations embedded across our product and internal tooling. If you're passionate about building AI systems that create real business impact, thrive in fast-moving environments, and want to work at the intersection of logistics and cutting-edge AI, we'd love to meet you.
Responsibilities:
  • Design and build AI-powered features across our B2B portal, internal tooling, and merchant-facing products - including LLM integrations, AI agents, and intelligent automations
  • Translate ambiguous business problems into well-scoped AI solutions, from prompt engineering and RAG pipelines to full agentic workflows
  • Build, evaluate, and iterate on AI systems using a rigorous experiment-driven approach - tracking quality, latency, and cost tradeoffs
  • Collaborate closely with product, operations, and engineering teams to identify high-leverage AI opportunities and deliver them end-to-end
  • Develop internal AI tooling and skill frameworks that empower non-technical teams to leverage AI in their daily workflows
  • Integrate with third-party AI APIs (Anthropic, OpenAI, etc.) and MCP-based tooling while maintaining security and reliability standards
  • Maintain observability over deployed AI systems - monitoring for regressions, prompt drift, and model performance degradation
  • Work independently in a remote environment with a strong sense of ownership and ability to ship with minimal oversight

Requirements:
  • 3+ years of software engineering experience, with at least 1-2 years focused on building production AI or ML systems
  • Hands-on experience with LLM APIs (Anthropic Claude, OpenAI GPT, etc.) and prompt engineering best practices
  • Strong programming skills in Python and/or TypeScript/JavaScript; comfortable building both backend services and lightweight frontend interfaces
  • Experience building RAG pipelines, embedding workflows, or agentic systems using frameworks like LangChain, LlamaIndex, or similar
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, etc.) and semantic search patterns
  • Experience working cross-functionally with non-technical stakeholders to scope and deliver AI projects
  • Proven ability to evaluate AI output quality and build evals/testing frameworks for LLM-based systems
  • Logistics, supply chain, or B2B SaaS experience is a strong plus
  • Experience with MCP (Model Context Protocol), AI agent orchestration, or multi-step tool-use workflows is a bonus