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AI Podcast Post-Production Automation Engineer

Victoria Nakamura

Freelance · Job · Los_Angeles

About the role

Podcast editors spend 3-5 hours per episode on repetitive tasks: removing filler words, normalizing loudness across speakers, cutting dead air, adding intros and outros, and generating show notes. Our automation platform handles 80% of this workflow — but the remaining 20% is where quality separates professional podcasts from amateur ones. We need an engineer to improve our automated editing pipeline: better filler word detection that doesn't clip legitimate pauses, cross-talk handling that preserves natural conversation flow, and dynamic loudness normalization that adapts to different recording setups. Each improvement gets A/B tested against human editor output — if listeners can tell the difference, it's not good enough. This is a 5-month freelance engagement, 25-30 hours per week. You'll work with our audio research scientist who designed the current pipeline and our product manager who collects editor feedback on quality issues.

Responsibilities

  • Improve filler word detection accuracy without clipping natural speech pauses
  • Build cross-talk handling that preserves conversational flow
  • Enhance dynamic loudness normalization across different recording setups
  • Design A/B evaluation protocols comparing automated vs human editing
  • Optimize pipeline processing speed for batch episode handling
  • Document audio processing decisions and quality thresholds

Requirements

  • 3+ years in audio processing or speech ML
  • Experience with speech activity detection and audio segmentation
  • Strong Python and PyTorch skills for audio model development
  • Understanding of audio engineering concepts: loudness, dynamics, equalization
  • Ability to hear and diagnose subtle audio quality differences

Benefits

  • Fully remote freelance role
  • Competitive hourly rate
  • Flexible schedule
  • Access to large podcast audio dataset
  • Extension possible based on results

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Categories

Automation & AI Workflows AI & Machine Learning Engineers

Skills

python pytorch docker aws fastapi

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Job Type

Freelance

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

Automation & AI Workflows AI & Machine Learning Engineers

Skills

python pytorch docker aws fastapi

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