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Ai Model Jobs in Missouri (NOW HIRING)

AI Agentic Tester

Denver, MO ยท On-site +1

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 ...

AI Agentic Tester

Denver, MO ยท On-site +1

Large Language Models (LLMs) * AI Agents & Agentic AI * Retrieval-Augmented Generation (RAG) * Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs ...

AI Engineer

Saint Louis, MO ยท On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

AI Engineer

Kansas City, MO ยท On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

$66K - $83K/yr

AI model training and governance; data security across data at rest, in transit, and in use; encryption and tokenization; and AI security platform architecture. * Build and maintain a strong network ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

AI Legal Counsel - Remote

Kansas City, MO ยท Remote

$90 - $130/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

$80K - $110K/yr

You will design scalable AI systems that combine large language models, retrieval, multi-agent workflows, and reusable AI components. The role offers deep hands-on exposure to technologies such as ...

New

Regional AI Business Lead

California, MO ยท On-site

$142 - $251/hr

Co-develop rigorous, board-ready financial and operational ROI frameworks that justify large-scale infrastructure investments by showcasing hard-dollar savings and accelerated AI model training ...

New

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

AI Legal Counsel - Remote

Springfield, MO ยท Remote

$90 - $130/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

AI Legal Counsel - Remote

Saint Louis, MO ยท Remote

$90 - $130/hr

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

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Showing results 1-20

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What cities in Missouri are hiring for Ai Model jobs?

Cities in Missouri with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Missouri as of August 2026, with employment types broken down into 66% Full Time, 18% Part Time, and 16% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

56303 HD - Enterprise AI Workflow Expert

California, MO โ€ข On-site

$120 - $180/hr

Other

Posted 11 days ago


Job description

56303 HD - Enterprise AI Workflow Expert

Cephas Consultancy Services Private Limited Permanent Remote Work, California, United States

About this position

Positions:50 Contract
Experience
5 - 30 Years

Role Title: Enterprise AI Workflow Expert

Role Type: Contractor

Location: Remote

We are engaging Enterprise AI Workflow Expert to contribute to an innovative enterprise project, focusing on maximizing business productivity through advanced AI-driven solutions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.

Scope of Work

Apply professional experience in to evaluate and enhance AI model capabilities within real-world scenarios.Design, execute, and iterate agentic workflows that simulate critical professional processes, providing actionable insights for continuous model improvement.Pinpoint and analyze reasoning gaps, workflow limitations, and tool-use challenges in AI agent outputs, translating findings into detailed, constructive feedback.Develop comprehensive examples, test cases, and operational playbooks derived from your domain expertise and day-to-day professional activities.Partner with research and product stakeholders to communicate nuanced domain feedback and influence AI model development.Document workflow outcomes and contribute to best-practice libraries for AI agent adoption and enablement.

Preferred Qualifications

Extensive professional experience in Sales, Growth Product Management, Project Management, Finance, or a similar domain as long as AI agents are a regular part of your workflows.Proven ability to connect data sources, configure permission/authentication, and integrate AI agents with productivity tools and business systems.Hands-on experience as a workflow builder, not just an end userโ€”demonstrated by designing, implementing, and operating multi-tool agentic workflows (e.g., with Gmail, Drive, Slack, Jira, MCP connectors, APIs, or platforms like Zapier, Make, n8n).Strong analytical skills for identifying AI model performance gaps and proposing creative solutions grounded in domain needs.Ability to articulate complex process requirements and improvement strategies to technical and non-technical audiences alike.Enthusiasm for advancing AI adoption and enablement within dynamic business environments.

Skills:AI Adoption, AI Enablement, Process Improvement, AI Agents

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