Commercial Video Editor & Post-Production Lead (AI Evaluation)

$70–120/hr

Mercor

Full time, 40 hours a week

Lead commercial video editing and post‑production for AI model training and evaluation.

What you would do

Design and produce editorial tasks that mimic agency workflows

Edit reference cuts in Premiere Pro or DaVinci Resolve

Assess AI‑generated video outputs and document issues

Create guidelines, rubrics, and technical checks for editing quality

Coordinate with research and SME teams to align training data

Who they want

5+ years delivering commercial or agency edits with brand credits

Daily expert use of Premiere Pro and DaVinci Resolve; familiarity with Avid and After Effects

Proficiency with source file formats, ProRes/DNxHR, FFmpeg, and color grading pipelines

Experience cutting broadcast, online, and social versions across multiple aspect ratios

Ability to work full‑time (40h/week) and communicate decisions clearly in writing

What the interview asks about

AI edit critique

“A client provides a 30‑second AI‑generated hero cut that drifts off‑beat at the 12‑second mark; how would you document the issue and suggest a fix?”

Why this comes up: They need to see you can spot subtle pacing or sync errors that affect model learning, showing both creative and technical acuity.

Task design for agency workflows

“You must create a set of cutdowns (60s to 6s) and 9:16 reframes for a new sneaker campaign; what steps do you take to structure the project files and deliverables?”

Why this comes up: Designing realistic editing challenges ensures the AI sees diverse, production‑ready scenarios, which is critical for robust training data.

File format and transcode handling

“Given a batch of .prproj files with mixed codecs, how would you use FFmpeg to generate consistent ProRes proxies while preserving timeline metadata?”

Why this comes up: Accurate handling of source and delivery formats prevents data corruption and maintains visual fidelity for AI training.

Color grading consistency

“A brand requires a specific LUT for skin tone consistency across all social cuts; describe how you apply and verify the LUT in Resolve for multiple versions.”

Why this comes up: Consistent Rec.709 grading teaches the model proper color standards, especially for skin tones and brand palettes.

Collaboration with research teams

“The research team reports AI struggles with subtitle timing on a localized version; how would you adjust your editing workflow to address this?”

Why this comes up: Aligning editorial decisions with research goals ensures that feedback directly improves model performance.

Guideline and rubric creation

“You need to draft a rubric for evaluating AI‑generated title safety; what criteria would you include and how would you weight them?”

Why this comes up: Clear standards let multiple reviewers evaluate AI outputs uniformly, accelerating model iteration.

A task you may get
Candidates may be given a raw footage set and asked to produce a 30‑second hero cut, a 6‑second cutdown, and a 9:16 reframed version, then write a brief critique of an AI‑generated version of the same material.

How to prepare

Assemble a portfolio that includes agency cutdowns and aspect‑ratio reframes with detailed project files

Practice writing concise, technical feedback on AI‑generated edits, focusing on pacing, sync, and color

Refresh command‑line FFmpeg commands for batch transcodes and metadata extraction

Study common AI video tools (Runway, Luma, etc.) and note their typical failure modes

The facts
Pay $70–120/hr

Hours Full time, 40 hours a week

Where Remote, United States

Open to USA

#J-18808-Ljbffr