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Remote Entry Level Ai Engineer Jobs in Raleigh, NC

Remote / Hybrid Type: Internship Compensation: NA. Course Credit Only Schedule: Full-time or ... We're looking for engineering interns who are deeply curious about modern software development, AI ...

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... You will work with engineering to submit and advocate for bugs and feature requests on behalf of ...

... support remote employees who reside in California or New York. In order to be considered for ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

... support remote employees who reside in California or New York. In order to be considered for ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

This role reports to the Director, Security Operations and is hybrid-remote based in our Raleigh ... Contribute to detection engineering improvements by identifying gaps in telemetry What You'll Need:

This role reports to the Director, Security Operations and is hybrid-remote based in our Raleigh ... Contribute to detection engineering improvements by identifying gaps in telemetry What You'll Need:

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Remote Entry Level Ai Engineer information

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$29.2K

$67.4K

$114.7K

How much do remote entry level ai engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote entry level ai engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What is a Remote Entry Level AI Engineer?

A Remote Entry Level AI Engineer is a professional who works from a remote location to help develop, test, and implement artificial intelligence (AI) systems and models. They typically support more experienced engineers by writing code, analyzing data, and assisting with machine learning tasks. Entry level roles often require basic programming skills (such as Python), familiarity with AI frameworks, and a passion for learning new technologies. Working remotely allows for flexibility, but it also requires good communication and self-management skills. This role is ideal for recent graduates or those transitioning to AI engineering from related fields.

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

To thrive as a Remote Entry Level AI Engineer, you need a solid understanding of programming languages (like Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for excelling in a remote setting. These skills ensure you can contribute meaningfully to AI projects, learn quickly in a rapidly evolving field, and collaborate efficiently with distributed teams.

What are the typical collaboration methods for remote entry-level AI engineers working on distributed teams?

Remote entry-level AI engineers usually collaborate with team members through a mix of video conferencing, instant messaging, and shared project management tools. You'll often participate in daily stand-ups, code reviews, and brainstorming sessions using platforms like Slack, Zoom, or Microsoft Teams. Version control systems such as GitHub or GitLab are essential for coordinating code contributions. Building strong communication skills is important, as you'll need to clearly articulate ideas and ask questions despite not being physically present with your colleagues.
What are popular job titles related to Remote Entry Level Ai Engineer jobs in Raleigh, NC? For Remote Entry Level Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
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What cities near Raleigh, NC are hiring for Remote Entry Level Ai Engineer jobs? Cities near Raleigh, NC with the most Remote Entry Level Ai Engineer job openings:
Infographic showing various Remote Entry Level Ai Engineer 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 $67,425 per year, or $32.4 per hour.

Product Onboarding & Delivery Intern

RozieAI

Durham, NC โ€ข Remote

Other

Re-posted 19 hours ago


Job description

Location: Remote / Hybrid
Type: Internship
Compensation: NA. Course Credit Only
Schedule: Full-time or Part-time
Experience Level: Undergraduate, Graduate, or exceptional self-taught builders with strong projects


Rozie Synopsis - Product Onboarding & Delivery Intern

At Rozie Synopsis, we're building the future of event intelligence, knowledge capture, and AI-powered experiences.

We believe events are some of the most underleveraged knowledge systems in business today. Our platform helps organizations transform live conversations, sessions, meetings, and interactions into searchable knowledge, actionable insights, and long-term value.

We're looking for engineering interns who are deeply curious about modern software development, AI-native engineering workflows, and agentic systems.

This is a hands-on role where you'll work directly on production systems, prototypes, internal tooling, and AI-driven workflows.


Role Overview

The Product Onboarding & Delivery Intern supports the team responsible for the technical onboarding, configuration, and delivery of customer events. Working alongside experienced engineers and product specialists, the intern will gain hands-on exposure to the full event lifecycle - pre-event setup, live delivery, and post-event workflows - while contributing to real, intern-scoped projects that make a visible impact on how events are delivered.

This internship is well suited for third- and fourth-year students pursuing degrees in Computer Science, Information Systems, Software Engineering, or related fields who are curious about product operations, customer-facing technical roles, or SaaS delivery.


What You'll Do

Onboarding Support

  • Assist in gathering and documenting event requirements under the guidance of senior team members
  • Help maintain JIRA tickets, track action items, and keep status updated across event onboarding workflows
  • Shadow customer and partner calls to learn how technical requirements are scoped and validated

Configuration & Product Learning

  • Learn the platform's configuration options and assist with non-critical setup tasks under supervision
  • Pair with engineers to understand how features are configured for different event types
  • Build familiarity with internal tools, dashboards, and documentation

Documentation & Enablement

  • Draft and update onboarding materials, runbooks, and training notes for internal and partner use
  • Help create or edit short training videos for AV teams and production partners
  • Identify gaps or unclear sections in existing documentation and propose improvements

Live Event Exposure

  • Observe live event support sessions to understand monitoring, escalation paths, and incident response
  • Assist with pre-event readiness checks alongside the support team
  • Take structured notes on issues, resolutions, and improvement opportunities

Post-Event Support

  • Help with post-event tasks such as content review, basic reporting, and editorial handoffs
  • Surface patterns in post-event feedback to support continuous improvement


What You'll Learn

  • How a real SaaS event platform is configured and delivered to enterprise customers
  • Practical use of JIRA and other tools for managing technical work end-to-end
  • How cross-functional teams - Product, Engineering, Sales, Operations, AV - collaborate to deliver complex live events
  • Stakeholder communication, written documentation, and triage skills in a fast-paced environment
  • A clear, honest view of what a career in product operations, implementation, or customer engineering looks like


Qualifications

Required

  • Currently enrolled as a junior or senior at a US university
  • Pursuing a degree in Computer Science, Information Systems, Software Engineering, Business Technology, or a related field
  • Strong written and verbal communication skills
  • Curiosity about how software products are delivered, operated, and improved
  • Organized, detail-oriented, and comfortable asking thoughtful questions

Nice to Have

  • Coursework or project experience involving SaaS products, APIs, or web technologies
  • Familiarity with JIRA, Trello, Asana, or similar tracking tools (academic or club projects count)
  • Any exposure to events, AV/production environments, or video content workflows
  • Interest in customer-facing technical roles, product operations, or implementation engineering


What We Offer

  • Mentorship from product, engineering, and operations leaders
  • Ownership of meaningful, intern-scoped projects with visible outcomes
  • Exposure to live, customer-facing event delivery
  • An end-to-end view of how a modern SaaS event platform operates
  • [Duration, location, compensation, and academic credit details to be confirmed by the hiring team]


Why This Role Matters

Interns in this role contribute directly to how smoothly customer events are onboarded and delivered. They get a rare, full-stack view of product operations - from the first customer requirements call to the final post-event handoff - and leave the internship with concrete experience in technical onboarding, documentation, and live delivery support.


About Rozie Synopsis

Rozie Synopsis is building an AI-powered event intelligence platform designed to transform fragmented event moments into shared memory, actionable insight, and forward momentum.

Our vision is to make events the most powerful knowledge systems in the modern enterprise through AI-powered insight activation, connected intelligence, and institutional memory.

We move fast, prototype aggressively, work closely with customers, and care deeply about building technology that solves real operational and business problems.