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Ai Communication Jobs in Raleigh, NC (NOW HIRING)

AI Adoption Analyst

Raleigh, NC · On-site

$143K - $190K/yr

Develop and execute enterprise AI communications and campaigns across multiple channels, tailored by audience * Translate complex technical AI concepts into clear, business-friendly messaging for ...

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

Develop and execute enterprise AI communications and campaigns across multiple channels, tailored by audience * Translate complex technical AI concepts into clear, business-friendly messaging for ...

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

Develop and execute enterprise AI communications and campaigns across multiple channels, tailored by audience * Translate complex technical AI concepts into clear, business-friendly messaging for ...

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Exceptional written and verbal communication skills with the ability to convey complex concepts ...

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Strong written and verbal communication skills, with the ability to clearly articulate feedback and ...

New

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Strong written and verbal communication skills, with the ability to clearly articulate feedback and ...

New

No prior experience in AI is required -- your domain knowledge is what matters. Key ... Communicate effectively with the team to clarify guidelines and provide feedback on data collection ...

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Showing results 1-20

Ai Communication information

See Raleigh, NC salary details

$25.3K

$30.6K

How much do ai communication jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai communication in Raleigh, NC is $30,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,700.00 and $28,200.00 per year, depending on experience, location, and employer.

What is an entry-level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer, requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts. These positions often require a bachelor's degree in computer science, data science, or related fields and may involve tasks like data preprocessing, model training, and assisting with AI development projects.

What is AI communication?

AI communication refers to the ways artificial intelligence systems interact with humans or other systems, using natural language, text, speech, or other methods. This can include chatbots, voice assistants, automated email responses, and more. The goal of AI communication is to create seamless, effective, and human-like interactions that assist with customer service, information retrieval, or other tasks. Professionals in AI communication work on designing, developing, and improving these interactions to ensure clarity, accuracy, and user satisfaction.

What is the difference between Ai Communication vs Data Analyst?

AspectAi CommunicationData Analyst
Required CredentialsBachelor's in Communications, AI, or related fields; certifications in AI toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentTech companies, AI firms, communication agenciesBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed for developing AI-driven communication systems and chatbotsUsed for interpreting data, generating reports, and supporting decision-making

Ai Communication focuses on designing and implementing AI-powered communication tools, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but differ in their core functions and industry applications.

What are the key skills and qualifications needed to thrive as an AI Communications Specialist, and why are they important?

To thrive as an AI Communications Specialist, you need a solid background in communications, linguistics, or marketing, often supported by experience in technology or AI-focused industries. Familiarity with AI platforms, natural language processing tools, and analytics software is typically required, along with knowledge of content management systems. Exceptional written and verbal communication, creativity, and the ability to translate complex technical concepts into accessible language are vital soft skills. These skills ensure the clear, effective dissemination of AI-related information to diverse audiences, supporting organizational goals and user understanding.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer higher salaries due to their specialized skills and demand in industries like technology, finance, and healthcare.

How do professionals in AI Communication typically collaborate with technical and non-technical teams?

Professionals in AI Communication frequently serve as a bridge between data scientists, engineers, and business or marketing teams. They are responsible for translating complex AI concepts into clear, accessible language for non-technical stakeholders, while also ensuring that feedback from users and clients is accurately relayed to the technical team. This role often involves regular meetings, the creation of presentations or reports, and close collaboration during project planning and product launches. Successful AI communicators are proactive in fostering understanding and alignment across diverse groups to support the organization's AI initiatives.

Is AI taking communication jobs?

AI communication roles involve developing and managing AI systems that facilitate human interaction, such as chatbots and virtual assistants. While AI automates certain tasks, communication jobs that require emotional intelligence, complex understanding, and personalized responses continue to require human skills. Professionals in this field often work with AI tools and need strong language and technical skills.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI executives, senior data scientists, or specialized machine learning engineers, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, or managing teams in tech companies or research institutions, and they usually offer compensation packages including salary, bonuses, and stock options.
What are popular job titles related to Ai Communication jobs in Raleigh, NC? For Ai Communication jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Ai Communication jobs? Cities near Raleigh, NC with the most Ai Communication job openings:
Infographic showing various Ai Communication job openings in Raleigh, NC as of July 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $30,983 per year, or $14.9 per hour.
Senior Deep Learning Framework Communications Engineer

Senior Deep Learning Framework Communications Engineer

Nvidia

Durham, NC

Full-time

Re-posted 24 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

  • Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production

  • Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.

  • Improve AI compilers to hide communications or perform automatic fusion.

  • Conduct in-depth AI workload performance characterization on multi-GPU clusters.

  • Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.

  • Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.

  • Influence the roadmap of communication libraries - NCCL & NVSHMEM.

  • Collaborate with a very dynamic team across multiple time zones.

What we need to see:

  • B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience

  • Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang

  • Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)

  • Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)

  • Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)

  • Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)

  • Adaptability and passion to learn new areas and tools

  • Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

  • Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

  • Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes

  • Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993