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

Training Turk; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

Mercor is seeking a lead commercial video editor and post-production expert to guide AI model training and evaluation through editorial design and strict quality controls. You will shape agency-grade cuts and scalable workflows that ensure consistency across projects.

You will edit in Premiere Pro or DaVinci Resolve, assess AI outputs, document issues, and create robust guidelines and rubrics for editing quality. Strong writing communication is essential.

Qualifications

• 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.

Responsibilities

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

Skills

Video editing

Editorial critique

Documentation

Communication

Tools

Premiere Pro

DaVinci Resolve

Avid

After Effects

FFmpeg

Job description

$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