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Virtual Google Chat Support Jobs (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location: Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and deploy advanced ...

Washington Hospital

Nurse Navigator

Fremont, CA · On-site

$61.30 - $82.75/hr

Description Salary Range: $61.30 - $82.75 Nurse Navigator provides comprehensive clinical support ... such as Google chat for the purposes of interviewing candidates for employment. If you are ...

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Virtual Google Chat Support information

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How much do virtual google chat support jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for virtual google chat support in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

What is the difference between Virtual Google Chat Support vs Virtual Customer Service Representative?

AspectVirtual Google Chat SupportVirtual Customer Service Representative
CredentialsBasic computer skills, familiarity with Google WorkspaceCustomer service experience, communication skills
Work EnvironmentOnline, chat-based support via Google ChatOnline, multi-channel support including chat, email, phone
Industry UsageTech companies, online service providersRetail, telecom, e-commerce
Search & Comparison IntentFocus on chat support roles within Google or tech firmsBroader customer service roles across industries

Virtual Google Chat Support primarily involves providing online assistance via Google Chat, often within tech or online service companies. In contrast, Virtual Customer Service Representatives handle customer inquiries across multiple channels, including chat, email, and phone, in various industries. While both roles require strong communication skills, Google Chat Support emphasizes familiarity with Google Workspace tools, whereas Customer Service Representatives may need broader customer service experience.

More about Virtual Google Chat Support jobs
What cities are hiring for Virtual Google Chat Support jobs? Cities with the most Virtual Google Chat Support job openings:
What are the most commonly searched types of Google Chat Support jobs? The most popular types of Google Chat Support jobs are:
What states have the most Virtual Google Chat Support jobs? States with the most job openings for Virtual Google Chat Support jobs include:
What job categories do people searching Virtual Google Chat Support jobs look for? The top searched job categories for Virtual Google Chat Support jobs are:
Virtual Google Chat Support jobs near you
Infographic showing various Virtual Google Chat Support job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $54,179 per year, or $26 per hour.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Re-posted 27 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration