What the work involves
You will listen to generative music model outputs and judge them against structured criteria. Most tasks are head-to-head comparisons: two samples generated from the same prompt, and you decide which is stronger on musicality, creativity, prompt adherence, vocal quality, and production/mix quality — then explain why in audio-engineering terms a mixing engineer would recognize. A second stream of work is annotation: tagging genre and sub-genre, marking song structure (intro, verse, pre-chorus, hook, bridge, outro), and describing vocal and instrumental characteristics using a fixed taxonomy.
Because this is the Thai-language seat, lyric evaluation carries real weight. You will be asked whether generated Thai lyrics scan naturally, whether tonal contour fights or supports the melody, whether register and idiom fit the stated genre, and whether the vocal model pronounces Thai convincingly rather than approximating it. Task instructions and rubrics are in English, so you need to operate comfortably in both languages.
What the platform screens for
Mercor runs a resume upload plus a roughly 25-minute AI-led conversational interview. The screen is looking for verifiable production or engineering history — three or more years as a producer, audio engineer, or mixer — alongside formal or demonstrable grounding in theory and performance. Expect follow-up questions that go a layer deeper than your first answer: naming specific releases, sessions, DAWs, signal chains, or Thai-language songs you wrote or engineered. Vague credentials tend not to survive the second question.
Logistics
- Fully remote and largely asynchronous; you work through a task queue
- Part-time, 10+ hours per week, immediate start, duration up to six months
- Pay observed in the $13.01–23.43/hr range — rates vary by assessed depth and task type and are not guaranteed
- Requires reliable headphones or monitors and a quiet listening environment