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Video Prompt Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Applied AI Engineer

California, MO · On-site

Strong applied GenAI craft, including prompt engineering, structured output/tool-use, RAG, and ... Document, PDF, or video understanding; OCR; retrieval systems (nice to have) * Light fine-tuning ...

Samsara

Sr. AI Engineer

California, MO · On-site

$93K - $128K/yr

... including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment ... prompt engineering, embeddings, RAG systems). * Expert in Python and GenAI frameworks (e.g ...

Kohl's

$53.75 - $70.25/hr

Troubleshoot remote-user connectivity, application performance, authentication, voice and video ... Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the ...

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Video Prompt Engineer information

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 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 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.

Are prompt engineers still in demand?

Prompt engineers, especially those working with AI and machine learning models, are increasingly in demand as organizations seek to optimize AI outputs and develop advanced applications. Skills in natural language processing, AI tools, and prompt design are valuable in industries such as technology, entertainment, and marketing, with job growth expected to continue as AI adoption expands.

How can I become a video prompt engineer?

To become a video prompt engineer, develop skills in AI and machine learning, particularly in natural language processing and computer vision. Gain experience with video editing tools, scripting, and prompt design, and consider earning certifications in AI or related fields. Building a portfolio of projects and staying updated on emerging AI technologies can also enhance your qualifications.

What are popular job titles related to Video Prompt Engineer jobs in Missouri?

For Video Prompt Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Video Prompt Engineer jobs in Missouri look for?

The top searched job categories for Video Prompt Engineer jobs in Missouri are:

What cities in Missouri are hiring for Video Prompt Engineer jobs?

Cities in Missouri with the most Video Prompt Engineer job openings:

Video Prompt Engineer jobs near you

Applied AI Engineer

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 6 days ago

Job description

  • Own the Generation half of Document Intelligence
  • Design and iterate system prompts, few-shot prompts, and context assembly for generation recipes
  • Define per-entity target schemas and domain validators
  • Build generation-quality evaluation datasets and rubrics, offline and online, using LLMX’s eval pipeline
  • Monitor and address quality regressions
  • Assemble multimodal context windows from keyframes, transcripts, and OCR
  • Choose models and token budgets based on quality, cost, and latency tradeoffs
  • Use LLMX for model access and Attachments for ingestion
  • Hand off validated entities to domain-owning teams
  • Report to the Engineering Lead and collaborate with the Processing side of Document Intelligence
Requirements
  • Strong applied GenAI craft, including prompt engineering, structured output/tool-use, RAG, and retrieval-context patterns
  • Experience building datasets and rubrics and measuring factuality, relevance, and quality
  • Experience shipping LLM features into production services
  • Ability to connect model performance to product impact
  • Comfort working with multimodal inputs including video, PDF, audio, and images converted to text or structured output
  • LLM observability/cost awareness or experience with an eval platform (nice to have)
  • Document, PDF, or video understanding; OCR; retrieval systems (nice to have)
  • Light fine-tuning experience or familiarity with the industrial/maintenance domain (nice to have)
  • Legally authorized to work in the United States
Core Competencies

Demonstrates expertise in Generative AI, including prompt engineering and dataset creation, while effectively connecting model performance to product impact. Proficient in handling multimodal inputs and ensuring quality through evaluation datasets and rubrics.

Highest-signal resume keywords
  • Generative AI Craft
  • Prompt Engineering
  • Dataset Building
  • LLM Feature Production
  • Multimodal Input Handling
ATS Optimization Keywords Hard Skills
  • Prompt Engineering
  • Dataset Building
  • Quality Evaluation
  • Model Performance Measurement
  • Light Fine-Tuning
Industry Keywords
  • Document Intelligence
  • Multimodal Context
  • Structured Output
  • Video Understanding
  • PDF Understanding
Tools & Technologies
  • LLMX
  • Eval Pipeline
  • OCR
  • Retrieval Systems
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