What the work actually is
This is transcription of hearing, not of words. You put on headphones, play a 30–90 second field recording, and fill a structured form: which instruments are present, approximate tempo in BPM, musical key, timestamps for background events like a passing siren or a burst of applause, and short notes on the scene. A second task type gives you paired recordings of the same song captured in different locations — a busker played from across the street versus from three feet away — and asks you to judge what held constant and what changed. Later phases invert the task: you read an AI model's description of a clip you've heard, and mark each claim correct, wrong, or invented, with a one-line justification anchored to the audio.
The recordings are real-world, not studio. Expect traffic, wind, room reflections, overlapping conversation, clipped phone-mic capture, and instruments buried under all of it. The distinguishing skill is picking an accordion or a hi-hat out of a noisy mix and being honest about the point at which you stop being sure.
What micro1 screens for
The screen is AI-led and conversational, and it pushes on specifics. Expect to be asked how you would establish tempo on a rubato street performance, how you determine key with relative rather than perfect pitch, and what you write down when you can hear that something is there but cannot name it. Vague claims about a "great ear" get followed up until they resolve into a method or fall apart. Your stated background — gigging, session work, live sound, foley, ear-training instruction, post audio — should hold up to three or four layers of follow-up about actual repertoire, gear, and situations.
- 3+ years hands-on music or audio work, in any of the listed lanes
- Tempo within a few BPM; key by relative pitch, with a reference tone permitted
- Tolerance for repetitive structured entry — dropdowns, timestamps, short notes
- Brief, evidence-based written English: "accordion enters around 0:12," not "nice folk vibe"
Logistics
Remote contractor engagement, largely async annotation work on your own schedule, with a paid onboarding and calibration session and a short weekly sync you're expected to attend. The listing asks for 20–25 hours per week across the engagement window — this is not a few-hours-on-the-weekend arrangement. You supply quality headphones, a quiet room, and reliable internet. Observed pay for this listing runs $30–45/hr; rates on these projects vary by phase and are not guaranteed.
