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Remote Telecom Tester Jobs in Austin, TX (NOW HIRING)

... with testing and validating network technologies and configurations in lab and production ... Work with advanced telecom and networking technologies * Learn from experienced engineers in a ...

Remote Telecom Tester information

See Austin, TX salary details

$10

$38

$62

How much do remote telecom tester jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote telecom tester in Austin, TX is $38.02, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $50.29 per hour, depending on experience, location, and employer.

What is a remote telecom tester?

Remote Telecom Testers are professionals who evaluate and ensure the quality, functionality, and reliability of telecommunications systems and networks from a remote location. They use specialized tools and software to test voice, data, and video communication services, often identifying and troubleshooting issues without being physically present on-site. Their work helps telecom companies maintain seamless service and comply with industry standards. Remote Telecom Testers often collaborate with engineers, developers, and network administrators to resolve detected problems efficiently.

What are the key skills and qualifications needed to thrive as a remote telecom tester?

To thrive as a Remote Telecom Tester, you need a strong understanding of telecommunications networks, protocols (such as VoIP, LTE, 5G), and experience with software testing methodologies, often supported by a degree in computer science or related field. Familiarity with telecom testing tools (like Wireshark, JMeter, or Spirent), scripting languages, and relevant certifications such as ISTQB or Cisco are typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for diagnosing issues and collaborating with distributed teams. These skills ensure reliable network performance, accurate issue identification, and streamlined communication in a remote testing environment.

What are some common challenges remote telecom testers face when troubleshooting network issues remotely?

Remote Telecom Testers often encounter challenges such as limited physical access to equipment, which can make diagnosing hardware problems more complex. They must rely heavily on remote monitoring tools, detailed documentation, and strong communication with on-site staff to resolve issues efficiently. Effective collaboration and the ability to interpret data from afar are crucial, as testers may need to guide local technicians through troubleshooting steps or escalate issues to other teams. Adapting to diverse telecom environments and staying updated on evolving network technologies are also essential for success in this role.

What is the difference between Remote Telecom Tester vs Telecom Field Technician?

AspectRemote Telecom TesterTelecom Field Technician
CredentialsCertifications like CompTIA Network+ or Cisco CCNASimilar certifications, often with additional hands-on training
Work EnvironmentPrimarily remote, using diagnostic tools and softwareOn-site, installing and repairing telecom equipment
Industry UsageUsed across telecom companies for testing networks remotelyCommonly employed for physical network setup and maintenance

Remote Telecom Testers focus on diagnosing and testing telecom networks remotely using specialized software, while Telecom Field Technicians perform on-site installation and repairs. Both roles require similar certifications but differ mainly in work environment and daily tasks.

What cities near Austin, TX are hiring for Remote Telecom Tester jobs?

Cities near Austin, TX with the most Remote Telecom Tester job openings:

Infographic showing various Remote Telecom Tester job openings in Austin, TX as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, 6% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $79,090 per year, or $38 per hour.

AI Engineer (Python | Agentic AI | Vertex AI)

3B Staffing LLC

Austin, TX • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: AI Engineer (Python | Agentic AI | Vertex AI)
Location: Fully Remote (USA)
Duration: 6+ Months Contract

Python, LLM/Agentic AI, Google Vertex AI (or LangGraph/Bedrock), REST APIs, CLI scripting, pytest, structured logging, AI workflow orchestration, and telecom/RF domain experience preferred.
Job Description

We are seeking an experienced AI Engineer to join a high-impact AI transformation initiative for a leading telecommunications organization. In this role, you will build and enhance agentic AI systems that automate RF tower design and optimization workflows using modern LLM technologies. You will work on scalable AI agents, workflow orchestration, and production-grade Python applications while collaborating with cross-functional engineering teams.
Responsibilities

  • Design, develop, and enhance AI agent workflows using Python and modern LLM frameworks.
  • Extend and maintain existing AI agent codebases without creating redundant services.
  • Build AI-driven automation for RF engineering workflows and design optimization.
  • Develop and maintain APIs, CLI integrations, and workflow orchestration.
  • Write unit, integration, and regression tests using pytest.
  • Implement structured logging, monitoring, and debugging for AI workflows.
  • Collaborate with engineering, product, and telecom domain experts throughout the SDLC.
  • Support pilot deployments, production rollouts, and post-production monitoring.
  • Optimize AI agent performance, scalability, and reliability.

Required Skills

  • 4-7+ years of hands-on Python development experience.
  • At least 1 year of production experience with LLMs, Agentic AI, or Generative AI applications.
  • Experience with Google Vertex AI or similar frameworks such as LangGraph, Agent Builder, Bedrock Agents, or comparable AI orchestration platforms.
  • Strong knowledge of REST APIs, CLI tools, scripting, and automation.
  • Experience working with distributed systems and AI workflow orchestration.
  • Strong debugging, structured logging, and testing experience.
  • Experience with pytest, unit testing, integration testing, and regression testing.
  • Excellent problem-solving and communication skills.

Preferred Skills

  • Experience contributing to MCP servers or extending existing AI platforms.
  • Knowledge of RF engineering, telecommunications, LTE, 5G NR, or wireless network technologies.
  • Familiarity with AI evaluation frameworks and production deployment best practices.
  • Experience working in Agile/Scrum environments.

Nice to Have

  • Experience with LangChain, LangGraph, OpenAI APIs, Vertex AI, or Bedrock.
  • Cloud experience with GCP or AWS.
  • Background in telecom infrastructure or network optimization.