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Remote Prompt Engineering Jobs in Chicago, IL (NOW HIRING)

Guidewire Developer-ClaimCenter

Downers Grove, IL · On-site +1

$54.25 - $71.75/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

Guidewire Developer-ClaimCenter

Chicago, IL · On-site +1

$56.25 - $74.25/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

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... prompt/context engineering, tool/function calling, structured outputs, RAG * Working knowledge of ...

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory ...

... prompt and workflow design. * Data and retrieval engineering. Chunking, embeddings and vector ... remote We offer you a competitive total rewards package, continuing education & training, and ...

Sr. AI Technical Engagement Lead

Chicago, IL · On-site +1

$200K - $225K/yr

AI Engineering Location: Remote (US or Canada) Rate: $200-$225K (rates vary in Canada) Position ... prompt and context engineering, model selection and evaluation. * Azure AI stack: Azure AI Foundry ...

Showing results 41-60

Remote Prompt Engineering information

See Chicago, IL salary details

$17

$34

$49

How much do remote prompt engineering jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote prompt engineering in Chicago, IL is $34.05, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $39.38 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 are the most commonly searched types of Prompt Engineering jobs in Chicago, IL?

The most popular types of Prompt Engineering jobs in Chicago, IL are:

What are popular job titles related to Remote Prompt Engineering jobs in Chicago, IL?

For Remote Prompt Engineering jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineering jobs in Chicago, IL look for?

The top searched job categories for Remote Prompt Engineering jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Prompt Engineering jobs?

Cities near Chicago, IL with the most Remote Prompt Engineering job openings:

Infographic showing various Remote Prompt Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $70,833 per year, or $34.1 per hour.

Health & Benefits - AI Bot Optimization Specialist (Remote)

Inspira Financial

Oak Brook, IL • Remote

Full-time

Posted 14 days ago


Inspira Financial rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

The AI Bot Optimization Specialist owns the ongoing performance, testing, and refinement of Inspira's virtual agent experience. This role analyzes conversation-level and aggregate performance data, runs structured tests ahead of and following changes, and tunes the AI Bot configuration and conversational flows to improve resolution rate, deflection, and customer satisfaction. The Bot Optimization Specialist works in close partnership with the Content Specialist(s), translating performance data into prioritized content and configuration fixes, and shares accountability for the digital experience's overall self-service effectiveness.


  • Own day-to-day performance monitoring, testing, and refinement of Inspira AI bot, including, but not limited to, Fin Voice where applicable, targeting resolution rate, deflection, and CSAT goals.
  • Conduct weekly review of conversation transcripts, escalations, and handoffs to identify knowledge gaps, mis-routed intents, and breakdowns in bot understanding.
  • Design and execute structured test scenarios, including regression and A/B testing of flows and prompts, prior to and following knowledge base or configuration changes.
  • Tune AI bot's retrieval configuration, intents, and conversational flows based on performance data and testing outcomes.
  • Partner with the Content Specialist to translate identified knowledge gaps into prioritized content tickets, and validate that published fixes resolve the underlying issue.
  • Monitor and test configuration changes affecting AI bot's suggestions for human agents.
  • Maintain a bot performance dashboard covering resolution rate, deflection rate, CSAT, and escalation volume, reporting trends to leadership on a monthly cadence.
  • Lead root-cause analysis for significant bot performance dips or recurring failure patterns, driving remediation with the Content Specialist and platform/IT support as needed.
  • Monitor AI Insights, including CX Score, Topics Explorer, and Trends reports, to identify emerging customer topics not yet covered by the bot.
  • Make light, time-sensitive content corrections directly, such as typo fixes or quick clarifications, to resolve an active bot failure, coordinating promptly with the Content Specialist to formalize the change.
  • Support new bot use case rollouts, including test plan development and go-live monitoring for new flows or digital agent capabilities.
  • Stay current on AI platform updates and features, evaluating applicability to Inspira's use case.
  • Perform other duties as assigned.

Education & Experience:

  • 2+ years of experience in conversational AI or chatbot optimization, digital customer experience analytics, or CX systems administration; experience with Intercom Fin or a comparable AI virtual agent platform strongly preferred.
  • Experience with contact center or digital CX performance metrics, including resolution rate, deflection rate, CSAT, and NPS, required.
  • Familiarity with prompt engineering, RAG-based retrieval systems, or conversational flow design preferred.
  • Experience with A/B testing, structured QA, or data-driven experimentation in a customer-facing digital tool preferred.
  • Bachelor's degree in Business, CX, Data Analytics, Computer Science, or a related field preferred; equivalent experience considered.

Skills & Abilities:

  • Strong analytical skills; able to interpret conversation-level and aggregate performance data to identify patterns and root causes.
  • Detail-oriented and methodical approach to testing; able to design and execute structured test plans before deploying changes into a live customer-facing environment.
  • Working understanding of how knowledge base content quality drives bot performance; able to translate bot failures into clear, actionable content or configuration requests.
  • Comfortable partnering across content, platform administration, and compliance functions to resolve performance issues.
  • Effective communicator; able to present bot performance trends and recommendations to non-technical leadership audiences.
  • Comfortable operating in a fast-paced, iterative environment with frequent testing cycles and evolving platform capabilities.
  • Demonstrates the highest degree of honesty, integrity, and ethical conduct in all professional activities.

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