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Advanced Ai Data Trainer Jobs in Colorado (NOW HIRING)

Develop and deploy advanced machine learning models to optimize customer targeting, payment ... data integrity and compliance. * AI Product Integration: Collaborate with Product to integrate AI ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Develop and deploy advanced machine learning models to optimize customer targeting, payment ... data integrity and compliance. * AI Product Integration: Collaborate with Product to integrate AI ...

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Develop and deploy advanced machine learning models to optimize customer targeting, payment ... data integrity and compliance.AI Product Integration: Collaborate with Product to integrate AI ...

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

... transforming complex, fragmented data requirements into scalable, production-ready AI ... Advanced proficiency in Python and SQL alongside a deep understanding of distributed systems ...

... operating advanced Data and AI platforms, products, insights, and services. We help clients ... and training; licensure and certifications; and other business and organizational needs. The ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience ...

AI/ML Engineer III

Englewood, CO · On-site

$124.77 - $171.56/hr

The role requires advanced machine learning expertise, high autonomy, the ability to set technical ... data ingestion, feature engineering, training pipelines, model deployment, and evaluation. * Work ...

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Advanced Ai Data Trainer information

See Colorado salary details

$14

$32

$66

How much do advanced ai data trainer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for advanced ai data trainer in Colorado is $32.85, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $37.40 per hour, depending on experience, location, and employer.

What is an advanced AI data trainer?

An Advanced AI Data Trainer is responsible for training, refining, and improving AI models by curating, labeling, and analyzing datasets. They ensure AI systems generate accurate and meaningful responses by reviewing outputs, identifying errors, and providing corrective feedback. This role requires strong analytical skills, attention to detail, and an understanding of machine learning concepts. Trainers collaborate with engineers and data scientists to enhance model performance and align AI outputs with real-world applications.

What does an advanced AI data trainer do?

A typical day for an Advanced AI Data Trainer involves labeling and curating data, reviewing and refining datasets for accuracy, and collaborating with data scientists, machine learning engineers, and subject matter experts. You may conduct quality checks, develop annotation guidelines, and provide feedback to ensure data consistency. Often, you'll juggle multiple projects simultaneously and participate in meetings to discuss project requirements or data-specific challenges. This role is dynamic and requires continuous learning to keep up with evolving AI technologies and best practices.

What are the key skills and qualifications needed to thrive in the advanced AI data trainer position, and why are they important?

To thrive as an Advanced AI Data Trainer, you need a strong foundation in data annotation, machine learning concepts, and programming skills—often backed by a relevant degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, data labeling software, and experience in quality assurance processes are highly beneficial, and certifications in AI or data science can strengthen your profile. Excellent attention to detail, communication, and problem-solving abilities help you collaborate effectively and ensure data accuracy. These skills are crucial for building high-quality datasets that enable the development and refinement of advanced AI models.

What are popular job titles related to Advanced Ai Data Trainer jobs in Colorado?

For Advanced Ai Data Trainer jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Advanced Ai Data Trainer job openings in Colorado as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $68,332 per year, or $32.9 per hour.

Practice Manager - AI & Data

ALTEN Technology USA

Broomfield, CO • On-site

$160K - $190K/yr

Full-time

Re-posted yesterday


Job description

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

Responsibilities;

Practice Leadership & Management

  • Lead and manage the AI & Data practice
  • Manage and steer the allocation of practice resources across multiple activities, including:
    • Technical pre-sales support
    • Technical expertise delivery to projects
    • Recruitment support
    • Training and competency development
  • Provide line management and leadership to members of the practice including technical leadership across AI and Data
  • Define skills development objectives for practice members and evaluate progress and effectiveness
  • Develop, improve, and standardize processes, methodologies, and tools
  • Foster a culture of collaboration, innovation, and knowledge sharing across the practice

Client Engagement & Pre-Sales

  • Partner with Sales and Account teams to identify and shape AI & Data opportunities
  • Lead or contribute to solutioning, proposals, and RFP responses
  • Act as a trusted advisor in client discussions and executive forums
  • Align AI & Data solutions with business value and client outcomes

Technical Leadership & Innovation

  • Provide leadership across advanced AI & Data domains:
    • Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
    • Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
    • Cloud-based AI architectures (AWS, Azure, GCP AI services)
  • Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
    • Support delivery teams with hands-on guidance and expert oversight
    • Drive development of AI & Data offerings, accelerators, and reusable assets
    • Identify opportunities for AI-driven productivity gains and automation
    • Ensure adoption of industry best practices and scalable architectures

Qualifications

  • 12-15 years of experience in consulting, engineering services, or technology-driven organizations
  • 5+ years of experience in AI, Data, or Analytics leadership roles
  • Proven experience building and scaling technical teams or practices
  • Experience in:
    • Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
    • AI/ML frameworks (e.g., Python ecosystem, TensorFlow, PyTorch, Scikit-learn)
    • Data Engineering tools & platforms (Spark, Databricks, distributed systems)
    • Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
    • MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
  • Understanding of data governance, security, and AI regulations

Skills & Competency Management

  • Create, maintain, and manage the practice skill matrix
  • Identify competency gaps and develop capability-building plans
  • Develop and coordinate technical training programs and certification initiatives
  • Build and strengthen a team of experts through:
    • Recruitment
    • Coaching and mentoring
    • Internal talent development and training
  • Support career development planning and succession management within the practice
  • Promote technical communities, best practices, and continuous learning initiatives

Educational Qualifications

  • Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field
  • Certifications in AI/ML, Cloud are a plus

Salary Range: $160,000-$190,000 + Annual Performance Bonus

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience

Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.

Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.