Miju LabsEvery other page in this atlas assembles a demand case out of adjacency. This one has a rate card that names the software.
xAI's AI Tutor – Video Specialist pays $40–$75/hr, remote, and asks for "strong skills in video editing, pacing, colour grading, and narrative flow", proficiency with "Premiere Pro, DaVinci Resolve, After Effects, Nuke, or similar", a portfolio of "edited shorts, motion graphics, VFX breakdowns, compositing reels", and — the sentence that matters — the "ability to critically analyze and articulate what makes a video sequence work or fail at a technical level" (xAI posting). That is a product spec for a compositor's judgement, written by the buyer.
Second signal: OpenAI's GDPval covers 44 occupations across 9 sectors, with task authors averaging 14 years of experience and five rounds of expert review each — and film and video editors, producers, directors and audio/video technicians are in it (OpenAI). Chip design, architecture, biology lab work and the construction trades are not.
Third: nobody is selling it. The 37-vendor RL-environment directory states outright that no vendor in it focuses primarily on video/VFX (rl-list), and the top-50 human-data-startup listing contains no video specialist either (alignlist). A [NOTHING FOUND], not a gap in the research.
What the data actually is
The distinction that decides this business: everyone in the adjacent market is buying pixels. Nobody is buying decisions.
Moonvalley trains its Marey model on fully licensed footage and sells "commercially safe" as the pitch (VentureBeat). That is a rights business. The scarce thing is one layer up — why this cut lands and that one doesn't, what the colourist did to the shadows and what problem it was solving.
| Line | Input | What makes it scarce |
|---|---|---|
| Cut rationales | Public-domain or licensed footage, multiple assemblies of the same scene | The editor's ordering of alternatives, not the chosen cut |
| Compositing breakdowns | A finished shot plus its node graph | Why the roto was cheated here and matched exactly there |
| Grade intent | Ungraded plates plus the colourist's narration | The story reason for a lift, stated out loud |
| Failure diagnosis | A deliberately broken sequence | Naming which technical fault a viewer will feel but not see |
The last is the highest-value and the closest to what xAI's posting literally asks for. It is also the one a horizontal marketplace with 30,000 generic experts cannot produce.
Proof scores 5. VEBench (ByteDance Intelligent Creation with the University of Central Florida) is 3,900 edited videos, 257 hours, 3,080 QA pairs, built by "a professional annotation team" over 1,400+ working hours, testing recognition of seven editing techniques — L-cut, J-cut, jump cut, smash cut, cutaway, invisible cut, match cut — and simulated editing operations. Gemini-2.5-Pro tops out at 34.65% and 44.44%, which the authors call "far below the level required for practical editing applications" (arXiv 2605.03276). VEFX-Bench, EditVerseBench and CoVEBench also exist, scores unverified (arXiv 2604.16272, CoVEBench).
A model that gets a third of J-cuts right is not a benchmark you must displace. It is a headline you beat in one release.
Is anyone buying
Budget scores 4 — the strongest evidence in this set of eight, and one notch below Clinical medicine and Offensive security only because there is no six-figure lab req and no disclosed contract.
The rate card is live and the occupation is in GDPval. Note also who is building here: ByteDance made VEBench, and Adobe Research published EditDuet, a multi-agent system for non-linear editing (Adobe Research). The tool vendors are constructing benchmarks in public, not hoarding expert judgement the way Cadence hoards verification telemetry. Two well-resourced parties have declared the gap and neither has bought the layer that fills it.
No system card, model release or disclosed contract in this domain cites purchased video-editing expert data. The demand case rests on one job posting with a pay band, one occupation list, and one benchmark's methodology section. That is the best evidence available across all eight niches in this set — which tells you as much about the set as it does about video. Compare Offensive security, where vendors are named by name in Claude Opus 5's system card.
Getting the experts
Reach scores 4, not 5, because there is no register. Editing is unlicensed; there is no NASBA, no state bar, no ABMS.
What there is instead is unusually well-organised community. IATSE Local 700, the Motion Picture Editors Guild, holds roughly 7,000–8,000 members (Wikipedia) against 39,400 US film and video editors counted by BLS at a median $75,420/yr, growing 4% (BLS). Then the Visual Effects Society; r/vfx and r/editors; Lift Gamma Gain, where colourists actually argue; Creative COW; NAB and SIGGRAPH.
Smallness cuts both ways. Thirty-nine thousand people is a hard ceiling on how large this business gets. It is also why Mercor and the other horizontals have not bothered: recruiting a pool that small, in a craft with no searchable credential, is uneconomic for a marketplace optimising across four hundred skills. It is entirely economic for a company that does one thing.
The mood is the real obstacle, and the number to lead with is not yours.
Adobe pays Firefly training bonuses to Stock contributors, calculated from assets "considered for training between June 3, 2024 and June 2, 2025" and the licences those assets generated. One community-reported payout was $4.88 (Adobe community thread).
That is the number this workforce has in its head when an AI company approaches it. Against it, $75/hr for judgement — roughly double a $36/hr day-rate equivalent — lands very hard indeed. Do not bury the rate; open with it.
What it costs to run
Cost scores 4, and this is where the physical-capital rule applies most gently.
No rig. No building. One tool-licence line. DaVinci Resolve has a free tier. After Effects and Nuke are per-seat commercial licences and a genuine cost, but a per-seat cost, not the $80–150K per engineer of EDA or the per-experiment burn of Life-science wet lab. You need a handful of seats for reference work; your experts already have theirs, because they cannot work otherwise.
Footage is free if you are disciplined: public-domain archives and licensed libraries. Do not accept a frame of client work — the same public-artefact discipline that makes Law and Defensive security buildable.
Against a $36/hr effective floor, paying $75–100/hr for evening hours leaves a spread that survives a customer negotiating twice. Contra Labs already offers video editors up to $100/hr inside a general creative pool (Contra Labs) — your effective market price, not your ceiling.
Who is already there
Room scores 5. There is no specialist. Moonvalley licenses footage — a rights play. Contra Labs recruits video editors into a 400-skill creative pool, and its screen-recorded trajectory work is thinnest exactly here, which the Design and UI/UX page flags as one of the two edges the design incumbents skipped. ByteDance and Adobe are building benchmarks and agents.
Defense scores 4. The craft takes a decade, the pool is small and unsearchable, and editorial convention and toolchains keep moving — a 2026 dataset of compositing judgement goes stale when the node graphs change, which is the healthiest possible shape for recurring revenue.
What would kill it
The workforce refuses. This is the profession that struck partly over AI. If your first cohort concludes you are building their replacement, the guild channels close and do not reopen. Say what the data trains and what it does not, in writing, on the first screen.
Video generation eats the craft before the data matures. If frontier video models close the 34.65% gap on their own, the judgement layer becomes a two-year business rather than a ten-year one. This is the What better models do to each layer risk in its sharpest form: your buyer's success is your obsolescence.
A tool vendor decides to own it. Adobe and ByteDance have the users, the telemetry and the benchmark teams. Neither has bought expert judgement yet. Either could.
The pool is 39,400 people. There is a low ceiling on this business. That is a reason to price high and stay narrow, not a reason to pretend otherwise.
The first ninety days here
Recruit forty to sixty editors and compositors from Local 700 rosters, Lift Gamma Gain and r/vfx — this pool is small enough that the first cohort is a list of named individuals, not a funnel. Pay $85–100/hr and put the Adobe comparison in the outreach explicitly.
Then build what does not exist: a rubric-graded editorial judgement benchmark sitting alongside VEBench rather than duplicating it. VEBench tests whether a model can recognise a J-cut. Nobody tests whether it can say why the J-cut was right and the smash cut was not. Publish the disagreements — two supervisors reaching opposite conclusions on the same assembly is signal, the same argument Contra Labs makes about designers. See The first ninety days and The specialist wedge: video sits on the rare side of that trade, with a named buyer and an unclaimed benchmark at once.
Where the record is thin
The xAI band is a posting, not an invoice. Nobody has published what a video judgement dataset sells for — no pricing data exists for a vertical data contract in any of these eight domains, the only public reference point being SemiAnalysis's roughly $20,000 per UI gym.
The $4.88 Firefly figure is one contributor's self-report in a community thread, not an Adobe disclosure; treat it as an anecdote that happens to be widely believed, which for recruiting purposes is what matters. Guild membership is a Wikipedia figure. And the VEFX-Bench, EditVerseBench and CoVEBench scores were not verified — only their existence.