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Freelance Remote Ai Engineer Jobs in Colorado (NOW HIRING)

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Hach

AI Software Engineering Lead

Loveland, CO · On-site +1

A flexible, remote-friendly work environment * Paid holidays and a permissive paid time off policy ... Coach engineers on AI-assisted coding, testing, documentation, refactoring, and debugging.

New

Welo Data

Spanish Gen AI Trainer

Almont, CO · Remote

Review, evaluate, and validate AI-generated content and data according to project guidelines ... Fully remote in United States with complete schedule flexibility  * Employment Type: Freelance

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Freelance Remote Ai Engineer information

What is a freelance remote AI engineer?

Freelance Remote AI Engineers are independent professionals who design, develop, and deploy artificial intelligence solutions for clients while working remotely. They typically work on a contract or project basis, collaborating with companies worldwide without being tied to a specific location. Their work can involve machine learning, deep learning, data analysis, natural language processing, and developing AI-powered applications. This role offers flexibility and variety, allowing engineers to work on diverse projects across different industries.

How do freelance remote AI engineers typically collaborate with clients and project teams across different time zones?

Freelance remote AI engineers often work with clients and teams spread across multiple time zones, which requires strong communication and project management skills. They usually rely on collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello to stay aligned on project goals, deadlines, and deliverables. Clear documentation and regular updates are essential to ensure everyone is on the same page. Flexibility in scheduling, setting clear expectations, and proactively addressing potential roadblocks help foster effective teamwork and keep projects moving smoothly.

What are the key skills and qualifications needed to thrive as a freelance remote AI engineer, and why are they important?

To thrive as a Freelance Remote AI Engineer, you need a deep understanding of machine learning algorithms, programming proficiency (especially in Python), and a strong background in mathematics and data science, often supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or Google Cloud), and project management systems is essential. Outstanding problem-solving skills, self-motivation, and clear communication are crucial soft skills for collaborating with clients and managing projects independently. These skills ensure the delivery of high-quality AI solutions, effective remote teamwork, and successful client outcomes in a competitive freelance environment.

What is the difference between Freelance Remote Ai Engineer vs Freelance Remote Data Scientist?

AspectFreelance Remote Ai EngineerFreelance Remote Data Scientist
Required CredentialsKnowledge of AI frameworks, programming skills in Python, machine learning certificationsStatistics, data analysis, programming in Python/R, data visualization skills
Work EnvironmentRemote, project-based, often collaborating with developers and AI teamsRemote, research-focused, working with data sets and analytical tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, consulting firms
Search & Comparison IntentLooking for AI-specific freelance roles, AI project opportunitiesSeeking data analysis freelance work, data science projects

While both roles involve working remotely and require technical skills, Freelance Remote Ai Engineers focus on developing AI models and algorithms, whereas Freelance Remote Data Scientists analyze data to extract insights. The choice depends on your expertise in AI development versus data analysis.

What are popular job titles related to Freelance Remote Ai Engineer jobs in Colorado?

For Freelance Remote Ai Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Freelance Remote Ai Engineer jobs in Colorado look for?

The top searched job categories for Freelance Remote Ai Engineer jobs in Colorado are:

What cities in Colorado are hiring for Freelance Remote Ai Engineer jobs?

Cities in Colorado with the most Freelance Remote Ai Engineer job openings:

Freelance Remote Ai Engineer jobs near you
Infographic showing various Freelance Remote Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Contract. Highlights an 100% Remote job distribution.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Denver, CO • On-site, Remote

Full-time

Posted 5 days ago

Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Apply