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Video Prompt Engineer Jobs in Raleigh, NC (NOW HIRING)

Xsolla

AI-First Engineering Intern

Raleigh, NC

$16.25 - $21.25/hr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... We're offering AI Engineer Internships in regions across the globe to help drive that shift ...

Computer World Services

Network Services Lead

Morrisville, NC · On-site

$94K - $131K/yr

... and prompt and efficient service desk support. The Network Services Lead is responsible for ... Unified Communications and Video Teleconferencing : * Support the configuration and provisioning of ...

AT&T

Network Support Technician (Government)

Cary, NC · On-site

The NST provides onsite and remote Tier 2 support that requires prompt action and quick resolution ... Responsible for installing and maintaining video teleconferencing infrastructure to include ...

All JobsVideo Prompt Engineer JobsVideo Prompt Engineer Jobs in Raleigh, NC

Video Prompt Engineer information

See Raleigh, NC salary details

$29.6K

$85.8K

$135.6K

How much do video prompt engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for video prompt engineer in Raleigh, NC is $85,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $105,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Video Prompt Engineer, and why are they important?

To thrive as a Video Prompt Engineer, you need expertise in video production, scripting, and an understanding of AI prompt engineering, often supported by experience with media editing tools and a background in computer science or related fields. Familiarity with platforms like Adobe Premiere, After Effects, and generative AI systems such as OpenAI, Runway, or Synthesia is typically required. Strong creativity, attention to detail, and effective communication skills help in crafting prompts that yield high-quality, contextually relevant video outputs. These abilities are crucial for bridging the gap between technical AI capabilities and compelling visual storytelling, ensuring that generated video content meets project objectives.

What is a Video Prompt Engineer?

A Video Prompt Engineer is a professional who designs and optimizes prompts to guide artificial intelligence (AI) systems in generating or editing video content. They work closely with AI models to fine-tune instructions, ensuring the resulting videos meet specific creative, technical, or business goals. Their responsibilities often include scripting effective prompts, testing AI outputs, and collaborating with developers and creatives to enhance video quality and relevance. As AI video tools become more advanced, the role of a Video Prompt Engineer is becoming increasingly important in industries like advertising, entertainment, and digital content creation.

What are some typical challenges Video Prompt Engineers face when collaborating with creative teams?

Video Prompt Engineers often work closely with creative teams to develop prompts that yield visually engaging and contextually accurate video outputs from generative AI models. One common challenge is translating creative concepts into precise, technical prompts that the AI can interpret effectively. Balancing the creative vision with the technical constraints of the model requires strong communication and iterative problem-solving. Additionally, staying updated on the latest advancements in generative video technology is essential to ensure the prompts leverage new capabilities while maintaining high-quality results.

What is the difference between Video Prompt Engineer vs AI Content Creator?

AspectVideo Prompt EngineerAI Content Creator
Required CredentialsKnowledge of AI models, prompt engineering, multimedia toolsCreativity, familiarity with AI tools, content development
Work EnvironmentTech companies, media agencies, AI startupsDigital media, marketing firms, content platforms
Industry UsageAI-driven video production, multimedia projectsSocial media, advertising, online content
Search & Comparison IntentUnderstanding roles in AI video creationCreating AI-generated content for digital platforms

The main difference is that a Video Prompt Engineer specializes in designing prompts for AI models to generate videos, focusing on technical prompt optimization. An AI Content Creator develops digital content using AI tools, often across various media types. While both roles involve AI and creativity, the Video Prompt Engineer is more technical and focused on video-specific prompts, whereas the AI Content Creator emphasizes content production and storytelling across platforms.

What are popular job titles related to Video Prompt Engineer jobs in Raleigh, NC? For Video Prompt Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Video Prompt Engineer jobs in Raleigh, NC look for? The top searched job categories for Video Prompt Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Video Prompt Engineer jobs? Cities near Raleigh, NC with the most Video Prompt Engineer job openings:
Video Prompt Engineer jobs near you
AI-First Engineering Intern

AI-First Engineering Intern

Xsolla

Raleigh, NC

$16.25 - $21.25/hr

Other

Posted 8 days ago

Job description

ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.

Why This Role Exists

Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building.

You'll work on two things:

  1. Internal AI initiatives - helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone.

  2. Proof-of-concept builds on our own APIs - showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought.

This isn't a shadow-and-observe internship. You'll ship code that goes to customers - internal teams or external players and game developers - working closely with senior engineers and fellow interns across our global regions.

Who You'll Work With

You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week.

What You'll Do

  • Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix.

  • Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development.

  • Ship work that matters. What you build is expected to reach real users - whether that's an internal tool an engineering team adopts or a customer-facing integration - not a throwaway exercise that gets shelved after your internship ends.

  • Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working - not a novelty you reach for occasionally.

  • Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week - you'll be expected to bring something real.

  • Work with minimal process. You'll get context, a problem, and a mentor - the rest is on you to figure out and build.

  • Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos.

What We're Looking For

You build things because you want to, and that you already use AI to do it faster.

  • Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen.

  • Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something - not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked - not someone who fires off a prompt and hopes for the best.

  • Bias toward action. Given an ambiguous problem, you start building before you ask for a spec.

  • Comfort with developing modern full-stack solutions - we care more about how fast you learn than what you already know cold.

  • Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program. If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you.

How to Apply

No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include:

  1. A link to a GitHub profile, deployed project, or anything else you've built - the more recent and self-directed, the better.

  2. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: "What's something hard you built recently, and why did you build it?"

We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter).

$20 - $25 an hour
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the AI-First Engineering Intern, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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