Training Turk is hiring: Music Producer & Audio Post Specialist (AI Evaluation)

Music Producer & Audio Post Specialist (AI Evaluation)
$70–120/hr

Mercor

Full time, 40 hours a week

Create, evaluate, and document professional‑grade music and audio post‑production for AI model training.

What you would do

Design and deliver multi‑stem music and ad‑spot mixes

Assess AI‑generated audio against broadcast standards

Write detailed feedback and quality rubrics

Manage session files, metadata, and licensing documentation

Who they want

5+ years producing commercial music or audio for broadcast/brands

Pro Tools, Logic or Reaper fluency plus iZotope RX and loudness meters

Portfolio of broadcast‑ready mixes meeting ATSC A/85/EBU R128 specs

Experience with generative audio tools and ability to work full‑time weekdays

Commercial music production Broadcast mixing Loudness compliance

What the interview asks about
“How would you structure a 30‑second ad‑spot scoring task that requires a 5‑stem mix, ensuring the AI can handle both music and voice‑over sync?”

Task design for AI training

“How would you structure a 30‑second ad‑spot scoring task that requires a 5‑stem mix, ensuring the AI can handle both music and voice‑over sync?”

Why this comes up

They need to see you can craft realistic, production‑level assignments that push model capabilities.

Broadcast loudness compliance

“Describe the steps you take to verify a mix meets ATSC A/85 –24LKFS, and how you would flag a deviation of 1.5dBTP in an AI‑generated sample.”

Why this comes up

Accurate loudness is critical for broadcast delivery and model evaluation.

DAW session delivery

“When handing off a Pro Tools session to a research team, what files and metadata do you include to guarantee reproducibility?”

Why this comes up

Consistent, editable session files are essential for training data quality.

AI audio quality judgment

A client provides an AI‑generated voice‑over that sounds clear but has occasional clipping; how would you document this issue and suggest improvements?

Why this comes up

Evaluating generative outputs requires distinguishing subtle flaws from acceptable results.

Rubric creation

What criteria would you include in a rubric for assessing AI‑generated sound design for a 15‑second commercial?

Why this comes up

Clear guidelines enable consistent scoring across reviewers.

Collaboration with experts

If a metadata specialist flags missing ISRC codes in your delivered stems, how do you resolve the issue while meeting a tight deadline?

Why this comes up

Cross‑functional alignment ensures training data meets all technical and legal requirements.

A task you may get
You may be asked to receive an AI‑generated 10‑second music clip, identify any sync, loudness, or mix issues, and write a concise critique with suggested fixes.

How to prepare

Gather a portfolio of broadcast‑spec mixes and be ready to discuss loudness measurements

Refresh your knowledge of ATSC A/85 and EBU R128 limits

Practice evaluating AI‑generated audio samples and drafting feedback quickly

Review the workflow for exporting full DAW sessions with proper metadata

The facts
Pay $70–120/hr

Hours Full time, 40 hours a week

Where Remote, United States

Open to USA

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