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Remote Ai Chat Jobs in Colorado (NOW HIRING)

CableLabs

Customer Care Representative

Louisville, CO · Remote

$36K - $43K/yr

Respond to customer inquiries via phone, email, and live chat including AI-assisted chat ... This position is fully remote and requires a dedicated home workspace with reliable high-speed ...

CableLabs

Customer Care Representative

Louisville, CO · On-site +1

$36K - $43K/yr

Respond to customer inquiries via phone, email, and live chat including AI-assisted chat ... This position is fully remote and requires a dedicated home workspace with reliable high-speed ...

Releady

Principal Full Stack Engineer

Denver, CO · Remote

$85 - $100/hr

... AI and chat, document processing, analytics, and claims processing, all on a single modern tech ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

AppFolio

Sr. Software Engineer - Accounting

CO · On-site +1

$126K - $166K/yr

... featured AI leasing agent - LISA, a LLM backed chat interface to support property managers using ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

AppFolio

Sr. Software Engineer - Accounting

Denver, CO · On-site +1

$126K - $166K/yr

... featured AI leasing agent - LISA, a LLM backed chat interface to support property managers using ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

Aprio

Senior Associate, Compliance as a Service

Denver, CO · On-site +1

$80K - $132K/yr

Learn and apply AI LLM prompting basics; understand when to trust AI outputs and when to be ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

All JobsAi Chat JobsRemote Ai Chat JobsRemote Ai Chat Jobs in Colorado

Remote Ai Chat information

What is a remote AI chat?

A Remote AI Chat job typically involves working from home to support or manage AI-powered chat systems, such as chatbots or virtual assistants. Employees in these roles may help train AI chat systems, monitor conversations, provide customer support, or analyze chat data to improve AI performance. These positions require strong communication skills, basic technical knowledge, and the ability to work independently. Remote AI Chat jobs are popular in industries like customer service, tech support, and e-commerce.

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

To thrive as a Remote AI Chat Support Specialist, you need strong written communication skills, problem-solving abilities, and a good understanding of customer service principles, often supported by a high school diploma or equivalent. Familiarity with chat platforms, ticketing systems, and sometimes basic knowledge of AI chat tools or CRM software is typically required. Attention to detail, patience, and the ability to multitask are critical soft skills that differentiate top performers. These skills and qualities are vital for delivering efficient, accurate, and empathetic support to customers in a virtual environment.

What are some common challenges faced by remote AI chat specialists, and how can they be managed effectively?

Remote AI Chat Specialists often encounter challenges such as handling multiple conversations simultaneously, adapting to rapidly evolving AI tools, and maintaining clear communication without face-to-face interaction. To manage these effectively, it's important to develop strong multitasking and organizational skills, stay updated on the latest AI chat technologies, and actively participate in team meetings or knowledge-sharing sessions. Building a structured daily routine and leveraging collaboration platforms can also help maintain productivity and foster a sense of connection with remote team members.

What is the difference between Remote Ai Chat vs Remote Customer Support Agent?

AspectRemote Ai ChatRemote Customer Support Agent
CredentialsBasic technical skills, AI familiarityCustomer service training, communication skills
Work EnvironmentOnline, AI platform interfacesOnline, customer communication channels
Industry UsageTech, e-commerce, SaaSRetail, telecom, service industries
Job FocusManaging AI chatbots, troubleshootingAssisting customers, resolving issues

Remote Ai Chat roles focus on managing AI chat systems and troubleshooting chatbot interactions, requiring technical skills. Remote Customer Support Agents handle direct customer inquiries via chat or phone, emphasizing communication skills. Both roles are remote but differ in technical complexity and daily tasks.

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

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

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

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

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

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

Remote Ai Chat jobs near you
Infographic showing various Remote Ai Chat job openings in Colorado as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 47% Physical, 3% Hybrid, and 50% Remote job distribution.

Staff Software Engineer, AI Platform (US - Remote or Calgary)

Denver, CO • Remote

Syndio
11 - 50 employees
Learn more about Syndioexternal

Full-time

Posted 24 days ago

Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role:

Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience.

We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams.

What You'll Work On
  • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP).
  • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it.
  • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use.
  • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract.
  • Clarifying, designing, and implementing compliance and legal requirements for Syndi.
What We're Looking For
  • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes).
  • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue.
  • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts.
  • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped.
  • Strong written communication — our operating model runs on design docs and PR review across team boundaries.
  • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.
Why you'll love it here: