AI-Driven Video Editor for UGC Ads (Remote)

UMAEZ LLC

United States

Remote

USD 33,000 - 89,000

Part time

41 hours ago
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Benefits offered by this job

Fully remote work
Learning & development budget
Exposure to multi-market campaigns

Job summary

UMAEZ LLC is seeking an AI-focused Video Editor to craft AI-assisted video content for paid social ads. You will combine AI-generated visuals with traditional editing to produce UGC-style and product-focused videos across Meta and TikTok.

You'll work closely with Creative Strategists and the broader team to translate briefs into multiple AI-driven concepts, rapidly iterating based on performance feedback in a high-output, fast-paced environment.

Qualifications

  • Proven experience creating or editing short-form video ads for paid social, UGC, DTC, direct-response, or performance marketing.
  • Hands-on experience with AI video generation and creative tools.
  • Strong portfolio showcasing video editing skills and AI-generated or AI-assisted work.

Responsibilities

  • Create AI-generated and AI-assisted video creatives for paid social advertising across Meta and TikTok.
  • Translate briefs into multiple AI-generated visual approaches for testing.
  • Produce variations of winning concepts for testing and optimization.
  • Collaborate with strategists and creators to ensure brand-consistent output.
  • Stay updated with AI tools and workflows to improve quality and speed.

Skills

Short-form video ads
AI video generation
Portfolio showcase
Premiere Pro / CapCut
Hook pacing and CTR
Independent project management

Tools

AI tools (Sora, Higgsfield, Arcads)
AI editing tools

Job description

UMAEZ LLC is seeking an AI-focused Video Editor to craft AI-assisted video content for paid social ads. You will combine AI-generated visuals with traditional editing to produce UGC-style and product-focused videos across Meta and TikTok.

You'll work closely with Creative Strategists and the broader team to translate briefs into multiple AI-driven concepts, rapidly iterating based on performance feedback in a high-output, fast-paced environment.

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