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Video Editor – AI & R&D Focus

MarketScaleDallas, TX
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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

Location: Dallas, TXWork Model: On-site (Full-Time, W2)Office: Bank of America Plaza – 53rd FloorBenefits: Medical, Dental, Vision, 401(k) with Match

⸻The Role

We are building a next-generation video editing team focused on speed, innovation, and technical experimentation. This role is for editors who don't just execute workflows — they rethink them.

You will be part of a small, elite, full-time team designed to operate at 150%+ the output of a traditional editor, while simultaneously pushing the boundaries of how modern video editing is done using AI, automation, scripting, and emerging technologies.

This is not a traditional editing role.

It is 75% production editing, 25% R&D, and 100% forward-looking.

⸻What You'll Do

  •   Edit high volumes of short-form and long-form video with exceptional speed and quality
  •   Create mobile-first, platform-native content (TikTok, Shorts, Reels, etc.) alongside traditional formats
  •   Pull raw footage directly from internal servers and optimize workflows around large media files
  •   Experiment aggressively with:
  •   AI-powered editing tools
  •   Automation, scripting, and templates
  •   LLMs, prompt-based workflows, and machine-learning-assisted editing
  •   Build, test, and document new editing systems that improve:
  •   Velocity
  •   Quality
  •   Scalability
  •   Cost efficiency
  •   Present new tools, techniques, and workflows to the broader editing organization
  •   Help set new norms for how editing is done company-wide
  •   Absorb a significant volume of edits currently handled externally, helping convert variable costs into a high-performance internal team
  •   Travel occasionally to:
  •   Industry events
  •   Local meetups
  •   Technology conferences
  •   Innovation-focused gatherings

    • ⸻Who This Is For

    This role is for editors who:

  •   Love video editing and love technology
  •   Actively follow advances in AI, automation, and creative tooling
  •   Are comfortable with ambiguity, experimentation, and risk-taking
  •   Prefer building new systems over preserving old ones
  •   Challenge the status quo rather than defaulting to “how it's always been done”
  •   Enjoy learning new tools faster than others and proving their value through output
  •   Want to demonstrate measurable gains in speed, efficiency, and innovation
  •   Are excited to help train and influence other editors by example

    • If you already experiment with AI tools, scripting, automation, or unconventional editing workflows — and can show it — you'll be at home here.

    ⸻What Success Looks Like

  •   Sustained output well above traditional editing benchmarks
  •   Clear demonstrations of faster workflows through technology
  •   Adoption of your innovations across the editing team
  •   Tangible improvements in speed, quality, and scalability
  •   Documented systems, templates, and processes others can use

    • In addition to base compensation, performance incentives are tied directly to innovation, speed improvements, and successful adoption of new technologies.

    ⸻Why MarketScale

  •   Work on highly visible, high-impact content
  •   Collaborate with top-tier brands and projects
  •   Access in-house studios, enterprise-grade tools, and high-speed infrastructure
  •   Operate in a proven, large-scale content and editing ecosystem
  •   Be part of a team that values execution, experimentation, and progress
  •   Work in a highly collaborative, on-site environment optimized for large media workflows

    • This is an on-site role by design — driven by collaboration, shared infrastructure, and high-performance local networks handling massive media files.

    ⸻

    If you love video editing, live at the edge of creative technology, and want to help define what the future of editing looks like — this role was built for you.

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    Submit 10x as many applications with less effort than one manual application.

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