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Ai Communication Jobs (NOW HIRING)

Virtusa

AI Solution Lead

Jersey City, NJ · Hybrid

Communication: Exceptional verbal and written communication skills with the ability to present ... AI; full stack engineering, microservices, IoT; and cloud services. For more information, please ...

Nvidia

OR · On-site

Setting the long-term technical vision for distributed AI communication systems-GPU-to-GPU, GPU-to-storage, and cross-node data movement. * Conducting original research and prototyping next ...

Eridu AI

Network Simulation Engineer

Saratoga, CA · On-site

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces multiple industry-first innovations across silicon, packaging, software, and systems to deliver an order of ...

Beghou

Partner - AI & Analytics

Boston, MA

$126K/yr

Set the AI communication narrative and go‑to‑market positioning, aligned with Beghou's overall GTM strategy; define the thought leadership agenda in service of business priorities. Team and ...

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Ai Communication information

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$26K

$31.5K

How much do ai communication jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai communication in the United States is $31,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,500.00 and $29,000.00 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.
More about Ai Communication jobs
What cities are hiring for Ai Communication jobs? Cities with the most Ai Communication job openings:
What states have the most Ai Communication jobs? States with the most job openings for Ai Communication jobs include:
What job categories do people searching Ai Communication jobs look for? The top searched job categories for Ai Communication jobs are:
Ai Communication jobs near you
Infographic showing various Ai Communication job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $31,873 per year, or $15.3 per hour.

Co-Founder & CEO - AI Communication Agents for Freight & Logistics

FutureSight

New York, NY • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Opportunity

FutureSight is seeking a Co-Founder & CEO to lead HawkAI, an enterprise AI venture for US logistics brokerages, carriers, and warehouse operators. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.

HawkAI deploys always-on, multi-channel "AI workers" that autonomously manage high-volume freight communications across calls, texts, and emails, integrating directly with core freight systems including TMS, load boards, and broker/carrier databases. The platform handles track-and-trace calls, appointment scheduling, carrier rate negotiation, proof-of-delivery capture, and shipment status updates end-to-end - autonomously resolving 90%+ of routine communications and escalating only exceptions to human staff. Rather than another point tool layered on top of existing systems, HawkAI is designed to operate as the always-on communication layer for logistics teams, enabling them to focus on exceptions and value-driving work.

We are now seeking the founder to lead the venture from here.

Market Context
  • The US logistics BPO market for outsourced communications is approximately $26B, representing a major automation opportunity in a labour-intensive industry
  • Approximately 150,000 US freight forwarders, 3PLs, and warehouses form the target market, with tiered subscription pricing yielding a $1.5B annual TAM
  • Mid-sized US brokerages handle thousands of daily calls, with staff unable to answer or follow up on every transaction, contributing to OTIF (On Time/In Full) penalties and costly delays
  • Early customers deploying AI communication assistants report approximately 33% lower operating costs and significantly faster call resolution
  • AI supply chain software is growing at approximately 23% CAGR globally from 2025-2031, with North America seeing 30-45% annual growth in AI-driven logistics spend
About FutureSight

FutureSight is a leading venture builder that co-creates world-class software companies with values-driven entrepreneurs from inception to exit. We are a team of founders, operators and designers with experience successfully bringing software to market at scale.

You'll co-create with a proven venture building team, including:

  • John Carbrey - 4x founder, bootstrapped to $100M ARR
  • Joshua Auslander - Seasoned CFO and strategic advisor with $200M aggregate exits
  • Alan Smith - Globally recognized early stage validation expert, 24 products launched, an exit, 5M+ books sold
  • Prathna Ramesh - Early-stage investor and capital strategy advisor
The Partnership
  • Founder equity with meaningful ownership from inception
  • Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding
  • Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
  • Investor and advisor network across logistics, vertical AI, and early-stage capital markets
  • A true co-creation model in which you operate as CEO with FutureSight's cross-functional team as your partner
What you'll own

As Co-Founder & CEO, you will set the direction of the venture and lead its execution.

  • Strategy - Refine the ICP, pricing model, and product positioning across freight brokerages, 3PLs, carriers, and warehouse operators
  • Customer Development - Lead pilots with mid-sized to enterprise freight brokerages, convert them to paid engagements, and build the go-to-market motion targeting Heads of Logistics, Supply Chain, and Operations
  • Product - Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback, with a focus on TMS and load board integrations, conversational AI quality, and autonomous workflow execution
  • Capital - Lead the seed raise, supported by FutureSight's network and traction
  • Team - Recruit and lead the founding team, and establish the cultural foundation of the company
Co-Founder Profile
  • Previous founding experience at a venture-backed company
  • Demonstrated success in B2B SaaS go-to-market, including sales and customer engagement
  • Fundraising fluency, with the ability to develop investor narratives and close capital
  • Proven ability to attract, develop, and retain top talent
  • Clear-eyed understanding of the risks and demands of co-founding a venture-backed company
  • Direct exposure to logistics, supply chain, freight brokerage, transportation, or B2B enterprise software serving these industries, with familiarity in AI agents/LLMs
How to Apply

Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate.

FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Apply