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How much do remote voice engineer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for remote voice engineer in the United States is $48.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Voice Engineer, and why are they important?

To thrive as a Remote Voice Engineer, you need a solid understanding of VoIP technologies, network protocols, and telephony systems, often backed by a degree in computer science or a related field. Familiarity with technical tools such as Cisco Call Manager, SIP, PBX systems, and certifications like CCNA Collaboration or CCNP Voice are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for success in this remote role. These competencies ensure reliable voice infrastructure, quick issue resolution, and seamless collaboration with distributed teams.

What does a Remote Voice Engineer do?

A Remote Voice Engineer is responsible for designing, implementing, and maintaining voice communication systems such as VoIP, telephony, and unified communications, all while working remotely. Their tasks often include configuring voice networks, troubleshooting issues, and ensuring high-quality audio communication across an organization's infrastructure. They may also work on integrating voice solutions with other IT systems and provide support for users experiencing technical problems. This role is vital for companies that rely on voice communication for their daily operations, especially with a distributed or remote workforce.

What is the difference between Remote Voice Engineer vs Remote Network Engineer?

AspectRemote Voice EngineerRemote Network Engineer
CertificationsCCNA Voice, CCNP Collaboration, Cisco CertifiedCCNA Routing and Switching, CCNP Enterprise
Work EnvironmentTelecommuting, VoIP systems, collaboration toolsRemote network infrastructure, security, routing
Industry UsageTelecommunications, IT services, VoIP providersIT, enterprise networks, data centers

Remote Voice Engineers focus on designing, implementing, and maintaining VoIP and communication systems, often requiring collaboration with telecom providers. Remote Network Engineers manage and troubleshoot network infrastructure, including routers and switches, across various industries. While both roles involve remote work and networking skills, Voice Engineers specialize in communication systems, whereas Network Engineers handle broader network infrastructure.

What are some common challenges Remote Voice Engineers face when supporting distributed teams, and how can they be addressed?

Remote Voice Engineers often encounter challenges such as troubleshooting network issues across diverse locations, ensuring consistent call quality, and coordinating with team members in different time zones. To address these, it's important to establish clear communication channels, use robust remote monitoring tools, and document processes thoroughly. Proactively collaborating with IT staff at various sites and staying updated on the latest VoIP security practices also helps minimize disruptions and maintain reliable voice services.
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Remote Voice Engineer jobs near you

Conversational Voice AI Design Engineer

Goldenpick Technologies

Dallas, TX • Remote

$70 - $80/hr

Contractor

Posted 14 days ago

Job description

Role - Conversational Voice Design Engineer
Location - Remote

Skills Must have
  • Software Architecture
  • Google Cloud Platform (GCP)
  • Google DialogFlow
  • Vertex AI
  • Agent Development Kit (ADK)
  • Large Language Models (LLMs)
  • Python / Java / Go
  • AI/ML Engineering
  • Minimum 5 years of experience in software architecture or AI/ML engineering, including at least 2 years of hands-on experience with Google Cloud Platform. 
  • Strong experience designing and developing conversational AI solutions using Google DialogFlow, Vertex AI, ADK, and LLM technologies.
  • Proficiency in Python, Java, or Go is required.
  • Candidates are expected to demonstrate day-to-day usage of enterprise-approved AI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, and approved GenAI platforms) to improve coding efficiency, documentation quality, analysis, and decision-making while maintaining continuous learning of emerging AI capabilities.
  • Google Cloud certification.
  • Experience with Generative AI, prompt engineering, and advanced LLM use cases.
  • Healthcare industry experience or exposure to healthcare systems is preferred but not required.
  • Experience leading engineering teams and driving AI adoption at scale is a plus