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Remote Prompt Engineer Jobs in Elgin, IL (NOW HIRING)

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... ships Remote-first, technically rigorous team that takes production quality seriously WHAT YOU'LL ... Engineering, or equivalent experience Preferred: Experience testingAI-powered applications- prompt ...

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Remote Prompt Engineer information

See Elgin, IL salary details

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How much do remote prompt engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote prompt engineer in Elgin, IL is $55.35, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $73.65 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

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 as a remote prompt engineer?

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 are the most commonly searched types of Prompt Engineer jobs in Elgin, IL? The most popular types of Prompt Engineer jobs in Elgin, IL are:
What are popular job titles related to Remote Prompt Engineer jobs in Elgin, IL? For Remote Prompt Engineer jobs in Elgin, IL, the most frequently searched job titles are:
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What cities near Elgin, IL are hiring for Remote Prompt Engineer jobs? Cities near Elgin, IL with the most Remote Prompt Engineer job openings:

Senior/Staff QA Engineer Agentic AI Platform (Remote)

Ontrac Solutions

Chicago, IL โ€ข Remote

$80 - $90/hr

Full-time

Posted 11 days ago


Job description

Overview

We are seeking a highly skilled and experienced Senior/Staff QA Engineer to support a critical customer engagement. This role is ideal for a detail-oriented tester who thrives owning quality end-to-end someone equally comfortable writing precise manual test cases and building automated coverage for a fast-moving agentic AI product.

The successful candidate will work closely with the Delivery Lead/Solutions Architect and customer engineering stakeholders to ensure product quality from initial test planning through final release.

Required Credentials
  • 5+ years of professional QA experience, with at least 2+ years at a senior or staff level.
  • Demonstrated experience testing production software through a full Application Development Lifecycle (ADLC).
Required Qualifications
  • ADLC Expertise: Strong understanding of the Application Development Lifecycle from requirements through release and support.
  • UI/UX Acumen: Solid UI/UX understanding, with the ability to evaluate usability and flag design/interaction issues, not just functional bugs.
  • AI Agent Testing: Hands-on experience testing AI Agent use cases including conversational flows, agent decision-making, tool/function calling, and edge-case or failure-mode behavior.
  • Automation Frameworks: Proven experience with automated testing frameworks and building maintainable, scalable test suites.
  • Infrastructure Management: Ability to stand up and manage a Playwright cluster to run automated end-to-end (E2E) testing against a live agent platform.
  • Autonomy: Ability to independently define clear, well-structured test cases from ambiguous or evolving product requirements.
  • Lifecycle Ownership: Experience driving full E2E QA lifecycle ownership: test planning, execution, defect triage, regression, and sign-off.
Required Technical Stack Experience (Suggested Completion)
  • Automation Frameworks: Deep expertise with Playwright (including cluster management and parallel execution).
  • Languages: Proficiency in JavaScript / TypeScript or Python for writing automation scripts.
  • AI/LLM Tools: Familiarity with testing LLM outputs, prompt evaluation frameworks, or conversational AI testing tools.
  • CI/CD & DevOps: Experience integrating automated test suites into pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) and working with Docker containerization.
  • Defect Tracking & Tools: Proficiency with Git, Jira, and modern test management tools.


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