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Artificial Intelligence Telecom Jobs (NOW HIRING)

The Telecom Analyst is responsible for generating and processing billing invoices to several key ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The Telecom Analyst is responsible for generating and processing billing invoices to several key ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The telecom Field Techs must have at least several years of professional experience. Pay will be ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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... Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed ... Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on ...

Python Developer

Manhattan, NY

$55.50 - $76.25/hr

... Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed ... Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on ...

Site Reliability engineer (SRE)

Atlanta, GA · Hybrid

$54.75 - $72.75/hr

... Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed ... Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on ...

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Artificial Intelligence Telecom information

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How much do artificial intelligence telecom jobs pay per hour?

As of May 30, 2026, the average hourly pay for artificial intelligence telecom in the United States is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Telecom professional, and why are they important?

To excel as an Artificial Intelligence Telecom professional, you need a solid background in computer science, telecommunications, and data analytics, often supported by a relevant bachelor’s or master’s degree. Familiarity with AI and machine learning frameworks (such as TensorFlow or PyTorch), telecom protocols, and cloud platforms (like AWS or Azure) is typically required, along with certifications in AI or telecommunications. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and translate technical findings into business value. These skills are crucial for designing, implementing, and optimizing AI-driven telecom solutions that improve network performance and customer experience.

How does an Artificial Intelligence professional in the telecom industry typically collaborate with network engineers and data scientists?

In the telecom sector, AI professionals frequently work alongside network engineers and data scientists to develop, implement, and optimize intelligent network solutions. Collaboration often involves analyzing large datasets from network operations, designing machine learning models to predict outages or optimize traffic, and integrating these models into existing network management systems. Regular meetings, cross-functional project teams, and shared tools are common, ensuring that AI initiatives are aligned with technical requirements and business goals. This collaborative environment helps drive innovation while maintaining the reliability and efficiency of telecom networks.

What is an Artificial Intelligence Telecom professional?

An Artificial Intelligence Telecom professional is someone who applies AI and machine learning technologies to improve telecommunications systems and services. They work on optimizing network performance, automating customer support, detecting fraud, and enhancing user experiences through intelligent solutions. These professionals often collaborate with data scientists, network engineers, and software developers to build and deploy AI-driven tools that meet the evolving needs of telecom companies. Their expertise is crucial in enabling faster, smarter, and more reliable communications for consumers and businesses.

What is the difference between Artificial Intelligence Telecom vs Data Scientist?

AspectArtificial Intelligence TelecomData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or telecommunications; certifications in AI or networkingBachelor's or master's in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTelecommunications companies, network providers, AI solution firmsTech companies, finance, healthcare, research institutions
Employer & Industry UsageFocuses on integrating AI into telecom infrastructure and servicesAnalyzes data to inform business decisions across industries

While both roles involve AI and data analysis, Artificial Intelligence Telecom specializes in applying AI within the telecommunications industry, focusing on network optimization and AI-driven telecom solutions. Data Scientists work across various sectors analyzing data to extract insights, making their scope broader but less industry-specific.

More about Artificial Intelligence Telecom jobs
What cities are hiring for Artificial Intelligence Telecom jobs? Cities with the most Artificial Intelligence Telecom job openings:
What states have the most Artificial Intelligence Telecom jobs? States with the most job openings for Artificial Intelligence Telecom jobs include:
What job categories do people searching Artificial Intelligence Telecom jobs look for? The top searched job categories for Artificial Intelligence Telecom jobs are:
Infographic showing various Artificial Intelligence Telecom job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $52,104 per year, or $25.1 per hour.
Telecom Analyst

Part-time

Posted 3 days ago


Job description

The Telecom Analyst is responsible for generating and processing billing invoices to several key internal and commercial teams. The position entails responsibility for the management of cloud/telecom costs, working with the vendors and clients to resolve any related issues.
Key duties include invoice creation & management, cost allocation management, report development and analysis, and responding to customer requests.
Responsibilities
  • Analyze vendor invoices and create and process rebilled invoices, mapping billing rates, as well as identify discrepancies and opportunities for savings.
  • Investigate telecom usage charges with the help of invoices and customer service representatives.
  • Prepare and ensure that month-end activities are executed on a timely basis, i.e.
  • Prepare system charge back department journals, do relevant bill/ledger reconciliations & Telco accruals, and work with Suppliers on ensuring current ageing debts are resolved.
  • Prepare Monthly Reports as required.
  • Resolve Telco and business group queries related to invoices and payments information on a timely basis.
  • Run and analyze reports: AP and Accrual reports.
  • Work with Clients and Internal Sakon representatives during US hours and chase vendors as required.
  • Maintain a telecom inventory database (MACD: Move, Add, Change, Disconnection).
  • In addition, you will be responsible for such other duties as Sakon may assign to you from time to time, i.e. review of invoice processing during stabilizations period, back-up function, business process improvement initiatives and ad-hoc projects.

Skill and Experience
  • Interpersonal skills to work effectively in a team environment.
  • Proficiency in Microsoft Excel required. Working knowledge of Power Point and Word.
  • Understanding of Telecom (primarily cloud service like AWS).
  • Telecom Expense Management and/or Accounts Payable experience preferred
  • Required Education Associate's Degree
  • Oral and written communication skills, able to work effectively with employees both internal and external to the finance function.
  • Effective time management and organization skills with a proven ability to multi-task
  • Participates in the development of technical/business approaches and/or the recommendation of current system enhancements.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.