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Training Ai Models Jobs in Colorado (NOW HIRING)

Jobtailor

AI Security Engineer

Denver, CO · On-site

$120 - $160/hr

Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows. * Establish secure ...

KPMG US

Senior Associate, AI Engineer

Denver, CO · On-site

$56.75 - $73.25/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.

Sierra Nevada Corporation

AI/ML Engineer II

Englewood, CO · On-site

$108.50 - $149.18/hr

Overview The AI/ML Engineer II is a mid‑level position responsible for independently developing ... Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.

Cymertek

AI/ML Engineer

Aurora, CO · On-site

Familiarity with model optimization methods * Proficiency in deploying models at scale ... Paid Training * No long, wordy reviews with tons of paperwork!!! * Referral bonus program with ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

$110 - $160/hr

Familiarity with model optimization methods * Proficiency in deploying models at scale ... Paid Training * No long, wordy reviews with tons of paperwork!!! * Referral bonus program with ...

Pwc

AI Engineer

Denver, CO · 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 ...

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Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are the most commonly searched types of Training Ai Models jobs in Colorado?

The most popular types of Training Ai Models jobs in Colorado are:

What are popular job titles related to Training Ai Models jobs in Colorado?

For Training Ai Models jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Training Ai Models jobs in Colorado look for?

The top searched job categories for Training Ai Models jobs in Colorado are:

What cities in Colorado are hiring for Training Ai Models jobs?

Cities in Colorado with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Colorado as of August 2026, with employment types broken down into 64% Full Time, 19% Part Time, and 17% Contract. Highlights an 46% In-person, and 54% Remote job distribution.

AI Security Engineer

Denver, CO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $160/hr

Other

Posted 19 days ago

Job description

Responsibilities
  • Establish and operationalize security controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise.
  • Embed security into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions.
  • Work closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate within client’s cybersecurity, risk, and governance standards.
  • Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows.
  • Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments.
  • Review AI solution designs to ensure alignment with enterprise security architecture standards and secure-by-design principles.
  • Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs.
  • Define and implement security guardrails for AI model access, API usage, prompt controls, and secure interaction with enterprise data sources.
  • Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows.
  • Support development of monitoring use cases for AI misuse, abnormal model behavior, unauthorized access, and suspicious data movement.
Requirements
  • 5–8 years of cybersecurity engineering or security architecture experience, with exposure to cloud security, data protection, or application security.
  • Experience working with enterprise AI, machine learning, analytics platforms, or data-driven technology environments.
  • Practical understanding of AI/ML deployment patterns, APIs, model lifecycle, and enterprise data integration.
  • Experience with Microsoft Azure AI services, OpenAI integrations, Databricks, or enterprise AI platforms preferred.
  • Familiarity with emerging AI governance frameworks and responsible AI standards.
  • Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption.
  • Security certifications such as CISSP, CCSP, or cloud security certifications preferred.
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