Job Title: Creative Technologist — AI-Generated Media Location: 1x week (Seattle, WA) Duration: 6 months Job Description: Everything is AI-generated — the script, the voices, the video. Your job is to design and tune the system that produces it. There’s no established playbook for this yet. We’re building short‑form AI‑generated videos for Fire TV that recommend movies and shows to viewers — two characters discussing a title, entirely produced by AI. You build the system that turns "here’s a movie on our platform" into a finished video. The Job Design the characters — what they look like, how they talk, how they interact — written precisely enough that an AI video model can recreate them consistently every time Write the creative briefs — the instructions that tell the AI screenwriter what to produce: which title, which characters, what structure, what timing, what rules to follow Build and refine the AI personas — the screenwriter persona that generates scripts, the production persona that generates video prompts. You don’t write the scripts or prompts directly — you build the systems that write them Review the output — read the scripts, watch the videos, and when something is off (bad timing, wrong tone, character drift, dead air), trace the problem back to the persona, the brief, or the model’s limitations Update the system — fix the persona instructions, tighten the brief constraints, or adjust the quality rules so the same problem doesn’t happen again. Every fix makes the next run better Own the quality gates — word‑per‑minute calculations, segment fill rates, content guidelines, hook evaluation rules — that catch problems before they reach the video model, because the model can’t fix bad input on its own Define the evaluation criteria — what makes a generated video good or bad? You define the scoring rubrics the AI evaluator uses: does the dialogue match the script, do the characters look consistent, is the audio clean, does the pacing hold attention? When the evaluator passes something it shouldn’t (or rejects something it shouldn’t), you adjust the rubrics In short: You don’t make the videos — you build and tune the AI system that makes them, and you’re accountable for the quality of what comes out. Qualifications Experience writing for spoken dialogue — screenwriting, podcast scripts, voice‑over, or similar formats where the words are meant to be heard, not read Familiarity with generative AI models — both LLMs (for script generation) and video/image models (for visual output). You don’t need to train them, but you need to understand what they’re good at, where they break, and how prompt structure affects output Prompt engineering experience — iterating on instructions to get consistent, high‑quality results from AI systems, and diagnosing why output went wrong Ability to articulate why a generated video doesn’t work — not just “this looks off” but “the character’s appearance drifted from segment 2 to 3” or “the pacing drops after the hook because the transition is too long.” This precision is what makes evaluation criteria actionable for an AI scoring system Systems thinking — you’re building a creative pipeline, not a single artifact. You need to understand how a change to a character file affects the screenwriter persona which affects the script which affects the video prompt which affects the final video Comfort with structured data — JSON, markdown templates, timing calculations. The creative work lives in structured formats that feed into automated pipelines Working familiarity with video production concepts — framing, camera language, lighting, pacing — enough to write effective direction for a video model Self‑directed — you watch the output, find the problems, fix the system, and run it again Nice to Have Experience with character design for visual media (illustration, animation, or character‑driven content) Background in content recommendation, streaming, or entertainment Familiarity with TTS (text‑to‑speech) systems and how script structure affects synthesized voice quality Experience building or managing creative toolchains — templates, style guides, quality checklists that scale output across titles #J-18808-Ljbffr
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