Operations, compliance, and how the data industry works.
Emil supports operations, documentation, compliance coordination, and project delivery at Spirelight. He helps structure the process so recruitment, consent, production, and handoff stay aligned. He writes about how the speech-data and AI-data industry actually works: sourcing, consent, quality control, and what buyers should look for in a dataset partner.
A speech dataset quote for a low-resource language often runs higher than for a mainstream one, and it isn't a markup. Here are the five real drivers behind it: language rarity, speaker recruitment, recording conditions, annotation depth, and turnaround.
Medical audio annotation runs on different assumptions than general call center work. Why generalist annotator pools fail on clinical audio, what clearance and PII handling actually look like as a process, and when you need domain experts instead of more throughput.
LibriSpeech, LJSpeech, and Common Voice are all free for commercial use, but the three licenses don't ask the same thing of you. A corpus-by-corpus breakdown of what each one actually obliges.
AI training jobs are real, but scams surround them. Here is how legitimate platforms work, the red flags to walk away from, and how the big names compare.
Data annotation jobs from home are real, entry-level, and paid per task. Here is what the work is, what it pays, and how to start without experience.
