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Remote Prompt Engineering Jobs in Missouri (NOW HIRING)

Jobgether

Experience with large language models, prompt engineering, fine-tuning approaches, and building ... Flexible work arrangements, including remote or hybrid options. * Collaboration with a diverse and ...

New

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

Jobgether

Experience with AI agents, LLMs, prompt engineering, RAG, or automation in tools like Jira or Intercom is a plus. Benefits * Fully remote working environment with global flexibility. * Provided ...

Jobgether

$80K - $110K/yr

This role sits at the intersection of engineering, customer delivery, and applied AI, where you ... Hands-on experience building with applied AI/LLMs in production, including prompt design, tool use ...

Jobgether

... prompt engineering, fine-tuning, API integration, or retrieval-augmented generation (RAG ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

Kohl's

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 ...

New

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

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 ...

Kohl's

$89K - $122K/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 ...

Kohl's

$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 ...

Kohl's

$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 ...

Kohl's

$45.75 - $62.75/hr

Mentor and assist engineers, driving new ways of improving and simplifying the platform user ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

Kohl's

Manage a balanced team of Business Intelligence and Data Engineers autonomously, delivering ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

Kohl's

Experience with an object-oriented programming language (R, Python etc.) * Ability to write ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

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All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Missouri

Remote Prompt Engineering information

See Missouri salary details

$16

$31

$44

How much do remote prompt engineering jobs pay per hour?

As of Jul 14, 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.

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 Missouri? The most popular types of Prompt Engineering jobs in Missouri are:
What are popular job titles related to Remote Prompt Engineering jobs in Missouri? For Remote Prompt Engineering jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Missouri look for? The top searched job categories for Remote Prompt Engineering jobs in Missouri are:
Remote Prompt Engineering jobs near you

AI Enablement Lead [gn] Data Intelligence

Jobgether

On-site, Remote

Full-time

Posted 5 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Enablement Lead [gn] Data Intelligence based in Netherlands.

This role is designed for a hands-on AI leader who will drive the adoption and scaling of artificial intelligence capabilities across an innovative data technology environment.
You will define the strategy, architecture, and operational frameworks that enable teams to build and deploy AI-powered solutions efficiently and responsibly.
The position combines software engineering expertise, AI infrastructure knowledge, and organizational influence to accelerate product innovation.
You will create reusable AI platforms, establish LLMOps and governance practices, and help engineering teams integrate advanced AI capabilities into production systems.
Working across product, engineering, and business teams, you will transform AI from an emerging technology into a core organizational capability.
This is an opportunity to shape the future of intelligent data platforms while building scalable solutions with measurable business impact.

Accountabilities:

As an AI Enablement Lead, you will own the development and execution of AI enablement initiatives, creating the foundations that allow teams to safely and effectively leverage AI technologies. You will combine technical leadership with strategic vision to accelerate AI adoption, improve engineering workflows, and deliver next-generation intelligent capabilities.

  • Design and maintain internal AI platforms, orchestration layers, API gateways, and reusable frameworks including advanced RAG architectures and agentic AI solutions.
  • Partner with product and engineering teams to integrate production-ready generative AI and machine learning capabilities into data platform solutions.
  • Establish LLMOps and MLOps practices, including governance frameworks, model evaluation processes, monitoring systems, security controls, and privacy standards.
  • Optimize AI infrastructure performance by managing model costs, token usage, latency, and technology choices across commercial and open-source solutions.
  • Lead AI enablement initiatives through workshops, technical documentation, architecture guidance, and knowledge-sharing programs.
  • Drive rapid AI prototyping from proof of concept through production deployment, ensuring solutions are scalable, reliable, and maintainable.
  • Define standards for AI tooling, including vector databases, embedding strategies, semantic search approaches, and caching mechanisms.
  • Evaluate emerging AI technologies, vendors, and open-source models to maintain a forward-looking AI strategy.
  • Establish measurable success metrics for AI adoption, including developer productivity, delivery acceleration, and business impact.
Requirements:

The ideal candidate is a highly technical AI professional with experience building enterprise-grade AI solutions and the ability to influence teams through strong communication and technical leadership. You should combine software engineering discipline with deep knowledge of modern AI architectures and operational practices.

  • Strong experience as a Senior AI/ML Engineer, LLMOps Engineer, Machine Learning Engineer, or Software Architect building and scaling AI-powered applications.
  • Proven expertise in enterprise SaaS environments, complex data platforms, or large-scale software ecosystems.
  • Advanced knowledge of Python or Go, semantic search, vector databases such as Pinecone, Milvus, or pgvector, and AI orchestration frameworks including LangChain or LlamaIndex.
  • Experience with large language models, prompt engineering, fine-tuning approaches, and building reliable AI-powered workflows.
  • Strong software engineering practices, including CI/CD, automated testing, evaluation datasets, Docker, Kubernetes, and clean architecture principles.
  • Experience designing AI governance frameworks focused on security, privacy, performance, and responsible AI adoption.
  • Ability to proactively identify opportunities and build solutions that address organizational challenges before they become blockers.
  • Excellent leadership and communication skills, with the ability to align cross-functional teams without direct management responsibility.
  • Strong written and verbal English communication skills, with the ability to translate complex AI concepts into clear business value.
Benefits:
  • Opportunity to lead AI transformation initiatives within an innovative and fast-growing technology environment.
  • Competitive salary and benefits package.
  • Flexible work arrangements, including remote or hybrid options.
  • Collaboration with a diverse and highly skilled team of technology professionals.
  • Opportunities for professional growth, continuous learning, and career development.
  • The chance to shape AI strategy, tooling, and product innovation at scale.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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