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Ai Model Training Jobs in Missouri (NOW HIRING)

Jobgether

$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 ...

micro1 AI

Legal Counsel - AI Trainer

Columbia, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Saint Louis, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Kansas City, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Independence, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Pwc

AI Engineer

Saint Louis, MO

$50K - $112K/yr

... the AI models to be useful and scalable. As an Associate, you will focus on learning and ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

micro1 AI

Legal AI Trainer - Remote

Lees Summit, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Springfield, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Independence, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Kansas City, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Saint Louis, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Pwc

AI Engineer

Kansas City, MO · On-site

$50K - $112K/yr

... the AI models to be useful and scalable. As an Associate, you will focus on learning and ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

micro1 AI

Legal Counsel - AI Trainer

Springfield, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Lees Summit, MO · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal AI Trainer - Remote

Columbia, MO · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

MasterCard

Senior AI Platform Engineer (DevOps)

O Fallon, MO · On-site

$121K - $156K/yr

Develop and maintain infrastructure, tooling, and services that support model training, evaluation ... Support production AI platforms and services, proactively identifying opportunities to improve ...

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All JobsAi Model Training JobsAi Model Training Jobs in Missouri

Ai Model Training information

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

What are the most commonly searched types of Ai Model Training jobs in Missouri?

The most popular types of Ai Model Training jobs in Missouri are:

What are popular job titles related to Ai Model Training jobs in Missouri?

For Ai Model Training jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Ai Model Training jobs in Missouri look for?

The top searched job categories for Ai Model Training jobs in Missouri are:

What cities in Missouri are hiring for Ai Model Training jobs?

Cities in Missouri with the most Ai Model Training job openings:

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Missouri as of August 2026, with employment types broken down into 55% Full Time, 30% Part Time, and 15% Contract. Highlights an 59% In-person, and 41% Remote job distribution.

Sr Director Analyst - AI Data Security and Data Management

On-site

Jobgether
See more jobs at Jobgetherexternal

$66K - $83K/yr

Full-time

Posted 12 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Director Analyst - AI Data Security and Data Management based in Netherlands.

This is a senior individual contributor role at the intersection of cybersecurity, artificial intelligence, and data management. You will become a trusted expert on emerging technologies shaping AI data security and the broader AI data ecosystem. Your research and insights will help technology executives, product leaders, innovation teams, and marketing professionals navigate rapidly evolving security markets. You will combine deep subject-matter expertise with rigorous research, analysis, writing, and client advisory skills. The role offers significant visibility through executive briefings, written research, presentations, conferences, and direct client engagements. You will also collaborate with global research teams and external thought leaders to shape forward-looking perspectives on technologies that are redefining enterprise security.

Accountabilities:
  • Develop thought-leading research and strategic advice on the emergence, adoption, evolution, and disruption of technologies across AI data security and AI ecosystem data management.
  • Produce high-quality research reports, presentations, briefings, and other content that provides practical guidance to technology CEOs, product and innovation leaders, product managers, and marketing professionals.
  • Advise clients directly through virtual and in-person meetings, teleconferences, inquiries, briefings, and speaking engagements, translating complex technology trends into actionable recommendations.
  • Analyze emerging security technologies, market dynamics, competitive landscapes, vendor strategies, and adoption patterns to identify significant trends and implications.
  • Research topics including cloud and on-premises data visibility, classification, monitoring and protection; 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 of academics, investors, startups, technology vendors, and other industry experts to support interviews, case-based research, and emerging technology analysis.
  • Collaborate with adjacent analysts, researchers, and service delivery teams to develop integrated, high-quality research and client experiences.
  • Ensure the rigor, integrity, consistency, and relevance of research methodologies, analysis, and conclusions.
  • Analyze and synthesize quantitative and qualitative information, applying frameworks and patterns to develop and defend clear perspectives on complex client challenges.
  • Present research and insights effectively to both small and large audiences, including senior executives and industry professionals.
  • Represent established research methodologies and strategic perspectives effectively across client engagements and internal collaboration.
  • Continuously monitor developments in AI, cybersecurity, data management, and related markets to maintain current and forward-looking expertise.
  • Contribute to a collaborative global research environment while independently managing priorities, deadlines, and deliverables.
Requirements:
  • Bachelor's degree in a relevant discipline; a graduate degree or equivalent professional experience in cybersecurity, AI, data management, or a related field is preferred.
  • Minimum 12 years of relevant professional experience, with substantial expertise in cybersecurity and specific relevance to AI data security and AI ecosystem data management.
  • Deep subject-matter expertise across AI data security, AI data management, and the associated technology and vendor landscape.
  • Strong understanding of cloud and on-premises data visibility, classification, monitoring, and protection technologies.
  • Knowledge of data management for AI model training, management, learning, and governance.
  • Strong understanding of data security for information at rest, in transit, and in use, including encryption and tokenization.
  • Familiarity with AI security platform architecture and its relationship to data management.
  • Experience using, or the ability to quickly learn, research and financial intelligence platforms such as PitchBook, CapIQ, TechCrunch, Bloomberg, and comparable data sources.
  • Demonstrated executive presence and the ability to establish immediate credibility with senior executives and other stakeholders.
  • Exceptional research, analytical, writing, synthesis, and presentation skills.
  • Strong ability to explain highly technical and complex concepts clearly, concisely, and in an accessible manner.
  • Excellent client-facing communication skills, including the ability to respond thoughtfully and confidently to challenging questions.
  • Strong business and financial acumen, with an understanding of global competitive dynamics and market interactions.
  • Comfortable presenting to both small groups and large-scale professional audiences.
  • Highly organized, able to manage multiple priorities and deliver high-quality work under demanding deadlines.
  • Strong independent working style combined with a collaborative mindset and the ability to contribute effectively within a multicultural, globally distributed organization.
  • Learning agility and confidence navigating highly matrixed environments.
  • Willingness and ability to travel up to approximately 25%, where applicable.
Benefits:
  • Competitive compensation with additional rewards for strong performance.
  • Hybrid and flexible working environment, with the ability to work virtually when appropriate.
  • Supportive global working community with opportunities to collaborate across geographies and functions.
  • Access to extensive research resources, technology, and subject-matter expertise in AI and cybersecurity.
  • Opportunity to work at the forefront of the AI revolution and influence how organizations approach emerging technologies.
  • Significant visibility with senior executives and technology leaders across global organizations.
  • Opportunities to participate in conferences, executive briefings, client engagements, and thought-leadership initiatives.
  • Strong professional development opportunities and access to ongoing learning.
  • Inclusive, multicultural, and collaborative work environment.
  • Opportunity to build a high-profile career as a recognized authority in AI data security and data management.
  • Meaningful opportunity to shape research and advisory perspectives on technologies transforming enterprise security.
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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