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Video Prompt Engineer Jobs in Baltimore, MD (NOW HIRING)

Senior Software Engineer

Owings Mills, MD Β· Hybrid

$116K - $154K/yr

Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven ... Estimated Time Commitment: 3-5 minutes 2. If you are eligible, you will be asked to record video ...

Video Prompt Engineer information

See Baltimore, MD salary details

$30.3K

$87.7K

$138.6K

How much do video prompt engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for video prompt engineer in Baltimore, MD is $87,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $107,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Video Prompt Engineer jobs in Baltimore, MD look for?

The top searched job categories for Video Prompt Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Video Prompt Engineer jobs?

Cities near Baltimore, MD with the most Video Prompt Engineer job openings:

Infographic showing various Video Prompt Engineer job openings in Baltimore, MD as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $87,741 per year, or $42.2 per hour.

AI/ML & Gen AI Testing -- W2 ONLY

Columbia, MD β€’ On-site

Other

Posted 8 days ago


Job description

BEFORE APPLYING FOR THE JOB. KINDLY READ THE COMPLETE JOB DESCRIPTION PROPERLY(EVEN THE TERMS OF EMPLOYMENT ALSO), NO 1099, C2C , H1 TRANSFER

Title: AI/ML & Gen AI Testing

Location: Hybrid (1 day/week on-site in Merriweather, MD; occasional travel to Northern VA / DC offices)

Terms of Employment:

W2 Contract, 6-Months (possibile of extension)

Location: Hybrid (1 day/week on-site in Merriweather, MD; occasional travel to Northern VA / DC offices)

Candidate must reside in DMV area only

Role Overview

This role sits at the intersection of software/QA testing and AI/ML it is not a hands-on model-building or deployment position. The engineer will work closely with the lead systems engineer and lead developer supporting two active workstreams:

1. Machine Learning Models supporting existing and new ML initiatives, evaluating fine-tuned and agentic model outputs, and providing iterative feedback to improve model efficiency and accuracy in collaboration with the business team.

2. Generative AI Chatbots (Bridge Console) testing chatbot responses for accuracy and hallucination, crafting and refining prompts, and working with the development team to fine-tune outputs based on findings.

Day-to-day work includes testing across multiple pipeline stages (evaluating intermediate outputs at each processing step, not just final results), analyzing model/chatbot outputs, and partnering with both engineering and business stakeholders to validate results.

Required Qualifications (Mandatory)

3+ years of software engineering / QA testing experience

1 2 years of hands-on experience with Generative AI concepts

3+ years of cloud platform experience (AWS, Azure, or Google Cloud Platform)

Working knowledge of system/software testing methodology

~1 year of experience with BDD, Selenium, and test automation

Understanding of relational and non-relational databases, with experience working with data pipelines (e.g., Oracle, Snowflake)

Hands-on exposure to prompt engineering

Strong analytical skills comfortable interpreting model outputs and providing structured feedback

Experience with Jira and Confluence

Preferred Qualifications

Familiarity with AWS Bedrock and/or SageMaker

Background in healthcare or insurance industry

Exposure to newer AI/ML testing frameworks

Salesforce experience (nice to have, not required)

Interview Process

1. Initial video screen (~30 minutes)

2. In-person interview (typically at Merriweather, location may vary)