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Ai Model Trainer Jobs in Colorado (NOW HIRING)

AI Security Engineer

Denver, CO ยท 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 ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Document experimental findings and processes with a focus on clarity for AI training data.

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Ai Model Trainer information

See Colorado salary details

$12

$27

$45

How much do ai model trainer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai model trainer in Colorado is $27.03, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $31.35 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

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

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

What are popular job titles related to Ai Model Trainer jobs in Colorado? For Ai Model Trainer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Ai Model Trainer jobs? Cities in Colorado with the most Ai Model Trainer job openings:
Infographic showing various Ai Model Trainer job openings in Colorado as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $56,222 per year, or $27 per hour.

AI Security Engineer

Jobtailor

Denver, CO โ€ข On-site

$120 - $160/hr

Other

Posted 7 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 clientโ€™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
  • 5โ€“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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