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Software Developer Ai Trainer Jobs in Colorado (NOW HIRING)

Tallgrass

AI System Developer III

Lakewood, CO · On-site

... training data preparation, and model evaluation. * Design, implement, and maintain complex AI ... Minimum of four (4) years of development experience in modern software engineering languages and ...

Eliassen Group

AI Software Engineer

Greenwood Village, CO · On-site

$50 - $56/hr

The role centers on applied AI and software engineering, including AI agents, MCP servers, context-aware tooling, and integrations across ETL, reporting, analytics tagging, testing, and project ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO

We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever ... Familiarity with DevOps practices and tools * Experience working with sensitive data and adhering ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever ... Familiarity with DevOps practices and tools * Experience working with sensitive data and adhering ...

Bet365

Senior Software Developer

Denver, CO · Hybrid

$125K - $155K/yr

... AI technology to core operational tooling. Verification operates as a full stack team who are in ... software products, in a fast-paced, hard working environment. Your skills as a lead developer ...

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Software Developer Ai Trainer information

What is a software developer AI trainer?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What types of projects do software developer AI trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the key skills and qualifications needed to thrive as a software developer AI trainer?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Colorado? The most popular types of Software Developer Ai Trainer jobs in Colorado are:
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Infographic showing various Software Developer Ai Trainer job openings in Colorado as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Principal AI Engineer (SW & AI Labs)

Keysight Technologies, Inc.

Colorado Springs, CO • On-site

$133K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Software and AI Labs (SAL) at Keysight has an opportunity for an experienced engineering individual to join our team.
Candidate will be responsible for the following:
  • Guiding safe adoption of AI Tools and applications.
  • Benchmarking commercial models and industry patterns for software engineering and guiding SAL to make the right decisions for Keysight's engineering teams.
  • Developing Agentic/RAG solutions for developer workflows and DevSecOps Processes with an objective to radically evolve Keysight's SDLC.
  • Using data-driven indicators from Software Engineering Intelligence (SEI) platform to help SAL codify best practices and quantify AI's impacts on Keysight's development velocity.
  • Driving enablement via enterprise forums/guilds and playbooks to scale AI across teams.
  • Ensuring policy-aligned, secure, and compliant AI usage across SDLC (e.g., ISO/IEC 42001, NIST AI RMF, SOC2, OWASP API Security).
  • You will be a part of an agile and innovative team that believes in experimentation and championing of safe AI use for tackling software development process bottlenecks.

Responsibilities
To be successful, the role requires an engineering mindset to manage, design, and execute on the following 4 pillars:
AI-led Productivity & SDLC Acceleration
  • Lead technical evaluations and rollouts of AI tools for the enterprise and work with partners to define adoption of roadmaps and guardrails.
  • Design high-impact solution patterns (prompt libraries, RAG architectures, agent workflows) for planning, coding, testing, documentation - with a goal to improve productivity.
  • Build reference implementations and "golden paths" that integrate AI with SSF toolchains.
  • Evaluate upcoming AI technology concepts (MCP, Agentic AI) and guide Software Engineering teams to safe adoption.

Architecture & Integration
  • Architect end-to-end AI solutions that bridge or span on-prem, cloud, or VPC resources; optimize solutions for faster cadence, lower cost, and greater developer experience.
  • Partner with Central Engineering team to embed AI into planning, testing, documentation, CI/CD, and release processes.

Governance, Risk & Compliance
  • Translate corporate AI governance into developer-friendly approaches: data handling, prompt safety, model access tiers, and vendor usage rules.
  • Align practices broadly to concepts as defined in ISO/IEC 42001 (AI management systems), NIST AI RMF, SOC 2 controls, and OWASP API Security within SAL's Secure Software Factory (SSF) context.

Stakeholder, Vendor & Program Management
Evaluate and manage vendor relationships, set up pilot partnering with businesses and IT, benchmarking, and compliance obligations.
  • Engage with engineering leaders, IT, and adjacent business units to coordinate rollouts and validation sessions.
  • Provide concise executive updates and decision briefs on adoption, impact, and risks.

Qualifications
Education
  • Bachelor's or master's in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.

Must Have
  • Experience: 8-12 years in Software engineering with either academic degree or interest in AI/ML, with experience in applying modern AI capabilities (LLMs, RAG, agents) to developer workflows at scale.

OR
  • 5-8 years in software engineering with demonstrated experience in applying modern AI capabilities (LLMs, RAG, agents) to developer workflows at scale.
  • Technical depth, functional experience in one or more of the following:
  • LLMs & orchestration (prompting, tooling, evaluation, safety); agent frameworks; retrieval pipelines.
  • Toolchain fluency: DevSecOps tools.
  • Neural Networks, Machine learning, MLOps.
  • Data engineering for AI use cases (extract-transform-Load (ETL); embeddings, vector stores), and ML Ops practices.
  • Security & compliance: Working knowledge of Security; experience in implementing practical security controls for developer teams.
  • Communication & leadership: Strong ability to drive change, run enablement programs, and influence stakeholders across global teams.

This position requires the ability to obtain and maintain a U.S. government security clearance and to meet ITAR requirements. You must be a U.S. person (U.S. citizen, U.S. national, or lawful permanent resident) as defined by ITAR, and are you able to obtain and maintain a U.S. government security clearance.
Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range: MIN $138,960- MAX $231,600
Note: For other locations, pay ranges will vary by region.
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)

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