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Open Ai Jobs in Colorado (NOW HIRING)

Compa

Senior Software Engineer (all teams)

Denver, CO · On-site

$120 - $160/hr

NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San ...

Worky

Process Automation Engineer

Longmont, CO · On-site

$115 - $134/hr

Experience with generative AI platforms including Microsoft Copilot, Open AI, Anthropic, or similar technologies. * Experience developing AI agents, chatbots, or knowledge management systems.

Phase2 Technology

Application Developer, Senior

Aurora, CO · On-site

$86.80 - $198/hr

Experience with JSON, Java, JavaScript, SharePoint, XML, VBA, Oracle, MongoDB, Solr, SQL, Open AI, or other AI technologies Clearance Applicants selected will be subject to a security investigation ...

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All JobsOpen Ai JobsOpen Ai Jobs in Colorado

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How much do open ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for open ai in Colorado is $69.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $105.14 per hour, depending on experience, location, and employer.

What is OpenAI and what does the company do?

OpenAI is an artificial intelligence research organization that focuses on developing and promoting friendly AI for the benefit of humanity. The company is known for creating advanced AI models such as GPT (Generative Pre-trained Transformer) and DALL-E, which are used in natural language processing, image generation, and other AI applications. OpenAI conducts research, builds tools, and provides API access to its models for businesses and developers. Its mission is to ensure that artificial general intelligence (AGI) benefits everyone and to lead the way in AI safety and ethics.

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

To thrive as an AI Research Scientist, you need a strong foundation in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms and version control systems is essential. Creative problem-solving, strong communication, and the ability to collaborate within interdisciplinary teams are standout soft skills. These skills enable the development of innovative AI models and solutions, driving advancements and practical applications in artificial intelligence.

What are some common challenges faced by professionals working in AI research and development roles at companies like OpenAI?

Professionals in AI research and development roles often encounter challenges such as keeping up with the rapidly evolving landscape of machine learning techniques, ensuring ethical considerations are incorporated into their work, and collaborating effectively with multidisciplinary teams. Additionally, balancing the push for innovative solutions with the need for robust, reliable models can be demanding. Regularly communicating complex technical findings to non-technical stakeholders and contributing to open-source projects are also key aspects of the role.

What is the difference between Open Ai vs Data Scientist?

AspectOpen AiData Scientist
Required CredentialsTypically advanced degrees in AI, machine learning, or related fields; experience with AI frameworksDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, tech companies, AI startups; focus on AI model developmentCorporate, consulting, or research settings; focus on data analysis and insights
Industry UsageAI research, machine learning development, AI product creationData analysis, predictive modeling, business insights
Common Search/ComparisonOpen Ai vs Data Scientist

Open Ai professionals focus on developing and researching artificial intelligence models, often working in research labs or tech companies. Data Scientists analyze data to generate insights, build predictive models, and support business decisions. While both roles require strong technical skills, Open Ai roles are more specialized in AI research and model creation, whereas Data Scientists focus on data analysis and interpretation.

How do I get a job with OpenAI?

To get a job with OpenAI, candidates should review current openings on their careers page, ensure they meet the required skills such as expertise in AI, machine learning, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in research or development, and familiarity with AI tools are often preferred. The hiring process may include technical interviews and assessments.

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

The most popular types of Open Ai jobs in Colorado are:

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

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

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

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

What cities in Colorado are hiring for Open Ai jobs?

Cities in Colorado with the most Open Ai job openings:

Open Ai jobs near you
Infographic showing various Open Ai job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $143,858 per year, or $69.2 per hour.

Senior Software Engineer (all teams)

Compa

Denver, CO • On-site

$120 - $160/hr

Other

Re-posted 11 days ago

Job description

About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation.

In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.

Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.

Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.

Locations:

Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.

The Role

As a Senior Software Engineer, you'll have real ownership over the software and systems behind Compa's core products. You'll work across the stack, partner closely with Product and Design, and ship features that directly impact our customers.

In this role, you will:

  • Own production software across Compa's web app and backend systems, from design to delivery

  • Own key ML and AI integrations into our data workflows, including building our own agent harness

  • Build new features and improve existing workflows alongside Product and Design

  • Lead architecture decisions and write clean, scalable code

  • Drive code review and influence roadmap and technical direction

  • Solve real problems for enterprise comp teams, from data pipelines to user experience

Minimum Qualifications

  • 5+ years of professional experience shipping production software on a team

  • Deep proficiency in at least one modern web language or framework, and fluency across the stack

  • Successful end to end ownership of complex features or systems (design to production)

  • Experience leading technical decisions (trade-off justification)

  • Experience driving projects autonomously through ambiguity (scoping to delivery)

  • Experience raising the bar through code review and mentoring

Preferred Qualifications

  • Experience at early-stage or high-growth startups

  • Familiarity with compensation, HR tech, or enterprise SaaS

  • Experience with data-driven products or complex user workflows

  • Interest or experience in AI systems or ML infrastructure

  • Comfortable with ambiguity and fast, iterative work

Tech Stack

You don't need experience with all of these, but familiarity with any is a plus:

  • Backend: Django, Python

  • Frontend: React, TypeScript, GraphQL

  • Infrastructure: AWS

  • Other Tools: vLLM, Linear, Slack, Notion, Metabase

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