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Remote Prompt Engineering Jobs in Missouri (NOW HIRING)

AI Agentic Tester Denver, MO (Remote) Must-Have Skills * AI Agentic Testing * Functional Testing ... Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs ...

New

... Remote) Must-Have Skills AI Agentic Testing Functional Testing Generative AI Testing Large Language Models (LLMs) AI Agents & Agentic AI Retrieval-Augmented Generation (RAG) Prompt Engineering ...

New

$65/hr

... our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely ... Remote Seniority level: MidSenior Level

$8 - $65/hr

... prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in a science field is ... Remote Seniority level: Mid - Senior Level

$65/hr

... prompt engineering and evaluation metrics. A master's or PhD in Dutch language, linguistics, or a ... Remote Seniority level: MidSenior Level

Experience with prompt engineering * Deep understanding of SDLC, DevOps, cloud platforms (AWS/Azure ... Remote * Assist with building and scaling Perficient's AI SDLC offering, creating, leading, and ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

$128K - $133K/yr

Working in a collaborative, remote-first environment, you will drive the evolution of modern AI ... prompt or context engineering. * Solid understanding of AI quality evaluation, benchmarking ...

New

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... prompt/context engineering, tool/function calling, structured outputs, RAG * Working knowledge of ...

Implement software engineering best practices and ensure system performance and security ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

$95K - $131K/yr

Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... Ability to maintain prompt and regular attendance as set by the company * Ability to work at least ...

The position combines backend engineering excellence, product thinking, and ownership within a fast ... Fully remote opportunity within Europe. * Competitive base salary ranging from 50K to 80K gross ...

New

$112K - $148K/yr

Establish and lead product engineering and software standards * Ideate a new product from a user ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

$97K - $132K/yr

What You'll Do * Provide architectural design, engineering maintenance and application ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

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Showing results 1-20

Remote Prompt Engineering information

See Missouri salary details

$16

$31

$44

How much do remote prompt engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote prompt engineering in Missouri is $31.01, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $35.87 per hour, depending on experience, location, and employer.

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?

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 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.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.
What are the most commonly searched types of Prompt Engineering jobs in Missouri? The most popular types of Prompt Engineering jobs in Missouri are:
Infographic showing various Remote Prompt Engineering job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,497 per year, or $31 per hour.

AI Agentic Tester

Delan Associates, Inc.

Denver, MO • On-site, Remote

Contractor

Posted 2 days ago

New


Job description

AI Agentic Tester
Denver, MO (Remote)
Must-Have Skills
* AI Agentic Testing
* Functional Testing
* Generative AI Testing
* Large Language Models (LLMs)
* AI Agents & Agentic AI
* Retrieval-Augmented Generation (RAG)
* Prompt Engineering Validation
* AI Model Validation & Evaluation
* API Testing (Postman, REST APIs, Swagger)
* Python
* Test Automation (Selenium / Playwright / PyTest)
* AI Evaluation Metrics (Accuracy, Hallucination, Relevance, Consistency)
* End-to-End Workflow Testing
* Multi-Agent Testing
* Azure OpenAI / AWS Bedrock / Gemini
Core Responsibilities
* Perform functional testing of AI agent workflows and end-to-end AI applications.
* Validate LLM responses for accuracy, relevance, consistency, and hallucination rates.
* Test RAG pipelines, prompt engineering, and AI agent orchestration.
* Execute API testing using Postman, Swagger, and REST APIs.
* Develop and maintain automation scripts using Python, Selenium, Playwright, or PyTest.
* Validate multi-agent interactions, tool calling, and workflow execution.
* Apply AI testing methodologies and evaluation metrics to ensure response quality.
* Work with Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms to validate AI solutions.