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Senior Generative AI Video Specialist - Remote - Octopus by RTG
robusta
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted yesterday
About this role
A senior, hands-on expert who produces professional, brand-ready videos with generative AI. This person understands the science behind video generation, prepares assets carefully, plans every scene with intent, and turns AI video from experiments into a reliable production capability. Key Responsibilities 1. AI Video Generation • Produce high-quality corporate videos end to end using AI, with Higgsfield as a core platform alongside other leading image and video models. • Choose the right model, mode and settings for each shot based on a real understanding of how the models behave and where they fail. • Deliver consistent results across characters, environments, lighting, style and brand from one shot to the next. 2. The Science Behind the Generation • Apply a deep understanding of how diffusion and video models work, including motion, temporal consistency, camera control, seeds, reference conditioning and how prompts are interpreted. • Engineer prompts and references with intent, not trial and error, and document what works as reusable recipes. • Diagnose and fix common issues such as flicker, warping, identity drift, unnatural motion and artefacts. 3. Asset Preparation • Prepare production-ready inputs, including reference images, character sheets, product and location references, style frames, start and end frames, and brand elements. • Build and maintain a reusable asset library (characters, styles, environments, prompts) for consistency across projects. • Upscale, clean up, retouch and composite assets so they are ready for generation and final delivery. 4. Scene & Story Preparation • Turn briefs into scripts, storyboards, shot lists and scene breakdowns before any generation starts. • Plan every scene with intent: framing, camera movement, lens feel, pacing, lighting, mood and transitions. • Direct the full flow from concept to generation, editing, sound, voice-over, music, colour and final export. 5. Quality, Governance & Enablement • Ensure outputs meet brand, quality, legal, IP and responsible-AI standards, including the use of people's likeness and approved content. • Define a repeatable AI video production workflow with clear review points, turnaround times and quality standards. • Coach designers and content teams, and stay ahead of new AI video tools and techniques. Requirements • 8+ years in video production, motion design, VFX, animation or content creation, with 2+ years of hands-on generative AI video work. • Must: Expert-level, hands-on Higgsfield experience, backed by a strong portfolio of AI-generated videos. • Strong working knowledge of other AI image and video tools (for example Runway, Kling, Veo, Sora, Midjourney, Flux), and the judgement to pick the right one for each shot. • Deep understanding of how generative video models work and how to control them. • Strong grounding in film language: storytelling, cinematography, composition, lighting, editing and pacing. • Proficiency in editing and finishing tools such as Premiere Pro, After Effects, DaVinci Resolve and Photoshop. • Experience with AI voice, music and lip-sync tools is a strong plus. • Experience delivering for corporate or brand audiences, and presenting concepts and outputs to stakeholders. What We Are Looking For • Technical depth: knows why a generation works or fails, not only which prompt to use. • Creative direction: thinks like a director: story, shots and pacing come first. • Production discipline: prepares assets and scenes before generating and works to repeatable workflows. • Quality eye: will not accept artefacts, inconsistency or off-brand output. Portfolio Requirement • Candidates must share a portfolio of AI-generated videos, with a short breakdown of 1–2 projects: tools used, asset preparation, scene planning, prompting approach and post-production.