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Senior Generative AI Video Specialist - Remote - Octopus by RTG

Posted 5 Days Ago
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In-Office or Remote
Hiring Remotely in India
Senior level
In-Office or Remote
Hiring Remotely in India
Senior level
Produces professional, brand-ready corporate videos using generative AI from concept through final export. Responsibilities include model selection, prompt and reference engineering, asset preparation, storyboarding, cinematography, editing, sound, color, quality control, governance, and workflow development. The role diagnoses generation issues, maintains reusable asset libraries, ensures brand and legal compliance, coaches creative teams, and presents work to stakeholders. Expert Higgsfield experience and a strong AI-generated video portfolio are required.
The summary above was generated by AI

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.

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