AI Video Content Creator

One of our leading Technology clients is looking for a creator who makes commercials that sell — and who wants to help build the tools that make them.

About half your time is production: you take a product or campaign brief and deliver finished ads for paid social, CTV, short-form drama, gaming and brand campaigns — fast, and at the quality brands expect.

The other half is making the product better. You'll label and evaluate AI-generated output, diagnose failure modes, and feed structured feedback to the engineers and designers sitting next to you. This isn't a side duty: you sit with the product R&D team, not in a separate content pod, and your taste becomes the quality bar the product ships against.

You might come from years in advertising and production or be an AI-native creator with a reel of ads that actually ran. Ideally both.

Commercial production — ~50%

● Concept to final cut: briefs into scripts, storyboards and finished ads, from 6-second bumpers to 60-second spots — product-selling ads, brand films, short-form drama, gaming creatives and social content.

● Translate the brief: turn brand objectives, audience insights, key messages and calls to action into clear creative executions.

● Direct the models: precise prompts, reference images, control inputs and model settings to hit specific visual, motion, voice and brand outcomes. Add live-action or motion graphics where they help.

● Cut for each platform: native versions for Reels, TikTok, YouTube Shorts, pre-roll and TV/CTV, with the right ratio, length, pacing and captions.

● Build test variants: hooks, openings, CTAs, formats and markets, so performance teams can A/B test — then use the results on the next round.

● Protect the brand: hold product accuracy, brand guidelines, legal, platform ad policy and AI-disclosure requirements in every deliverable.

Quality evaluation & labeling — ~30%

● Label and evaluate output for visual quality, brand alignment, message clarity, audience appeal, voice naturalness, platform fit and effectiveness against the objective.

● Name the failure modes: artifacts, inconsistent subjects or products, unnatural motion, weak lip sync, wrong text, off-brand results.

Compare models, settings and workflows on quality, speed, consistency and cost, and keep a quality log of recurring patterns.

● Run and take part in blind A/B evaluations.

Product feedback & workflow design — ~20%

● Document friction, bugs and bottlenecks as they happen, and propose features weighted against real production pain.

● Help define what "good enough" means for AI-generated commercial content — and make it evaluable.

● Design repeatable workflows and reusable skills across concept → generation → edit → audio → delivery, and document prompts and templates for other creators.

Must have

● Commercial experience — our strongest signal. Ads made for real brands, products or clients under real budget and timeline constraints. We weigh this over technical novelty.

● Both sides of the commercial equation: brand-building work and conversion work judged on CTR, CVR and ROAS — and a view on how you'd cut them differently.

● Finished AI-assisted video in a portfolio or published work, covering the full workflow from brief through generation, editing, audio and export.

● Judgment about models — which one to reach for on a given creative goal, and why.

● Command of current generative video, image, voice, music and editing tools, and the habit of picking up new ones as they ship. The stack changes every few months; we care that you can evaluate and adopt a new tool quickly, not that you know today's list.

● Fluency in how ads perform now: hook in 1–3 seconds, sound-off design, vertical-first, UGC and creator-led formats, clear product hero, obvious CTA.

● Product sense: you can tell "this output is bad" from "the tool made this hard," say which one you hit, and suggest the fix. Feedback engineers can act on.

● Visual and brand sensibility, plus the detail eyethat catches wrong product details, inconsistent lighting or artifacts.

● Awareness of AI-content risk: rights and likeness, music licensing, disclosure and labeling, product fidelity across generated shots.

● Taste — you know when AI helps and when it cheapens the work.

● Speed and organization on tight deadlines, across multiple variants and feedback rounds. ● Fluent in English. Mandarin / Korean / Japanese a strong plus but not mandatory due to client requirement in interacting with Stakeholders in these regions.

Strongly preferred

● Performance-marketing fluency: you read hook rate, thumb-stop rate, CTR, CVR and ROAS, and act on them.

● Time at an advertising or creative agency, production studio, or in-house brand team — 5+ years is a plus, but the work matters more than the years.

● Depth in one or more of: product-selling ads, product-branding ads, short-form drama, gaming ads, AI-generated social content.

● Collaboration with creative directors, art directors, copywriters, account, brand or performance-marketing teams.

● E-commerce, retail or APAC market experience.

● Reusable prompt libraries, production playbooks, custom AI skills or automated creative workflows.

● Working alongside a product or engineering team — beta testing, dogfooding, creator-advisory work.

● Motion design, 3D, live-action directing, ad copywriting, or scripting in more than one language.

Contract Duration- 3 months- Potential to extend