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Remote Ai Validation Jobs in Colorado (NOW HIRING)

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Remote Ai Validation information

What is a remote AI validation?

A Remote AI Validation job involves evaluating and testing artificial intelligence models to ensure they work accurately and reliably. People in this role often review AI-generated content, annotate data, or provide feedback on machine learning outputs. The work is typically done online, allowing for flexible, remote schedules. Remote AI Validators play a crucial role in improving AI systems by identifying errors, biases, or inaccuracies in model predictions.

What are the key skills and qualifications needed to thrive as a remote AI validation specialist?

To thrive as a Remote AI Validation Specialist, you need strong analytical abilities, attention to detail, and a background in computer science, data science, or a related field. Familiarity with machine learning frameworks, data annotation tools, and quality assurance platforms is typically required. Excellent communication, problem-solving skills, and the ability to work independently are essential soft skills for success in a remote environment. These skills ensure accurate validation of AI models, high-quality data outputs, and effective collaboration with distributed teams.

What are the typical challenges faced by professionals working in remote AI validation roles, and how can they be addressed?

Professionals in remote AI validation roles often encounter challenges such as managing communication across distributed teams, ensuring consistent access to data and computational resources, and maintaining alignment on validation protocols. Overcoming these hurdles typically involves leveraging collaborative tools, establishing clear documentation practices, and participating in regular virtual meetings. Additionally, staying updated with evolving AI validation standards and fostering open communication with data scientists, engineers, and product managers can help ensure accuracy and efficiency in the validation process.

What is the difference between Remote Ai Validation vs Remote Data Labeler?

AspectRemote Ai ValidationRemote Data Labeler
Required CredentialsBasic understanding of AI/ML concepts, sometimes with certificationsNo formal credentials typically required
Work EnvironmentRemote, often collaborative with AI teamsRemote, individual or team-based labeling tasks
Industry UsageUsed in AI development, quality assurance for modelsUsed in data preparation for machine learning
Common Search IntentComparing roles in AI validation and data labelingLooking for data annotation or labeling jobs

Remote Ai Validation involves verifying and ensuring the quality of AI outputs, often requiring some understanding of AI/ML concepts. Remote Data Labeler focuses on annotating data for training models, typically with minimal formal credentials. Both roles are remote and essential in AI development, but they differ in responsibilities and skill requirements.

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

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

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

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

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

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

What cities in Colorado are hiring for Remote Ai Validation jobs?

Cities in Colorado with the most Remote Ai Validation job openings:

Remote Ai Validation jobs near you

AI/ML Engineer - Agentic AI (Remote)

Cognizant Technology Solutions

Englewood, CO • On-site, Remote

$113K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

AI/ML Engineer - Agentic AI (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070289403
About the Role
As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications.
In this role, you will:
  • Build AI solutions using LLMs, agents, and RAG frameworks.
  • Design scalable AI architectures with workflow orchestration, memory, and state management.
  • Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.
  • Integrate enterprise data sources and develop intelligent AI workflows.
  • Deploy and manage AI applications using LLMOps/MLOps best practices.

Work Model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered
  • 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.
  • Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
  • Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
  • Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
  • Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
  • Knowledge of scalable architecture, workflow orchestration, and AI governance.
  • Experience deploying production AI solutions using MLOps/LLMOps practices.

These Will Help You Stand Out
  • Experience with multi-agent systems and advanced orchestration frameworks.
  • Cloud expertise in Azure, AWS, or Google Cloud.
  • Knowledge of AI security, compliance, and responsible AI practices.
  • Experience in regulated industries such as healthcare, insurance, or banking.
  • Relevant AI, ML, or cloud certifications.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $113,000 - $130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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