What the work involves

The listing arrives with no written scope, which is typical of micro1's editor pipeline: candidates are screened first, then matched to whichever client project is live. In practice, that work falls into two buckets. The first is straightforward production — assembling timelines in Final Cut Pro from supplied footage, syncing audio, colour matching between cameras, cutting to a script or a runtime, and delivering to a spec sheet. The second is evaluation work: watching a rough cut or an AI-suggested assembly and judging whether the pacing, cut points, audio levels, and captions actually match the brief, then writing down precisely why a given cut fails.

The evaluation side is where domain depth shows. Saying an edit "feels off" is not usable output. Saying the cut lands two frames before the dialogue's plosive, so the line reads clipped, and proposing the corrected in-point is. Expect to write short structured critiques, sometimes rank two versions of the same sequence, and sometimes repair the weaker one yourself so the difference is documented.

What the screen looks for

  • Real Final Cut Pro fluency — magnetic timeline behaviour, compound clips, roles and lanes, multicam sync, Compressor and export settings — not a general "I edit video" claim
  • A portfolio or reel you can point to and talk through decision by decision
  • Willingness to justify subjective calls in writing with specific timecodes and reasons
  • Owned hardware: a Mac capable of running current Final Cut Pro, and calibrated-enough monitoring and headphones to judge colour and audio

Logistics

Fully remote and largely asynchronous. Tasks come with deadlines rather than shifts, though some client work carries fixed turnaround windows measured in hours. Volume is not guaranteed and fluctuates by project; most editors here treat it as supplemental rather than a full schedule. The $15–80/hr spread reflects genuinely different task tiers — basic trim-and-caption passes sit near the floor, senior review and complex finishing near the top — and placement is set by the platform, not negotiated per task.