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Generative Ai Analyst Jobs in Colorado (NOW HIRING)

Generative AI Analyst - Spanish (US) * Location: Fully remote in United States with complete schedule flexibility  * Employment Type: Freelance * Pay Rate: 15 USD/per hour

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide ... Preferred Qualifications • Experience in fraud analytics, risk scoring, or payment decision ...

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide ... Preferred Qualifications • Experience in fraud analytics, risk scoring, or payment decision ...

Human resources operations face persistent delays from manual workforce analytics, talent ... Through strategic translation and rapid prototyping, the position turns generative AI capabilities ...

Financial Analyst

Westminster, CO · On-site

$78K - $107K/yr

Join Trimble's Customer FP&A team to directly partner with global customer leadership, leverage cutting-edge generative AI, and build advanced predictive models that optimize customer lifetime value ...

Human resources operations face persistent delays from manual workforce analytics, talent ... Through strategic translation and rapid prototyping, the position turns generative AI capabilities ...

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Generative Ai Analyst information

See Colorado salary details

$51.5K

$93.1K

$129.9K

How much do generative ai analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for generative ai analyst in Colorado is $93,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,600.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

What are popular job titles related to Generative Ai Analyst jobs in Colorado?

For Generative Ai Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Colorado look for?

The top searched job categories for Generative Ai Analyst jobs in Colorado are:

What cities in Colorado are hiring for Generative Ai Analyst jobs?

Cities in Colorado with the most Generative Ai Analyst job openings:

Infographic showing various Generative Ai Analyst job openings in Colorado as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $93,131 per year, or $44.8 per hour.

Spanish Gen AI Trainer

Almont, CO • Remote

Welo Data
Data Services • 1 - 5K employees

Part-time

Posted 13 days ago


Job description

What if your knowledge Spanish language could help improve the AI.  
   

WHAT YOU’LL DO  

  • Review, evaluate, and validate AI-generated content and data according to project guidelines.
  • Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
  • Identify errors, inconsistencies, omissions, and quality issues.
  • Annotate, categorize, or label text, audio, images, video, or other data where required.
  • Provide clear written feedback or justifications for your evaluations.
  • Complete assigned tasks independently and within established timelines.
  • Follow project and client guidelines consistently and maintain a high level of accuracy.
  • Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
     

YOU ARE A FIT IF YOU’RE…  

  • A native or near-native Spanish speaker
  • Detail-oriented with strong written language skills 
     

PROJECT DETAILS  

  • Job Title: Generative AI Analyst - Spanish (US) 
  • Location: Fully remote in United States with complete schedule flexibility  
  • Employment Type: Freelance
  • Pay Rate: 15 USD/per hour


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.