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Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

What Could Go Wrong

Best Case Studios / Audible

Led end-to-end audio production and directed ElevenLabs voice creation for this Audible original — translating a producer's ambiguous creative direction into concrete voice and mix decisions across a 4-engineer team.

What Could Go Wrong artwork

AUDIO PRODUCTION LEAD · ELEVENLABS VOICE DIRECTION · PRO TOOLS · RX

01 — Process

Direct

Voice

Produce

QC

Calibrate

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Ambiguous creative notes, no shared technical vocabulary
  • No single quality bar across 4 engineers
  • Risk of inconsistent episodes under daily deadlines

After

  • Concrete voice & mix decisions the whole team could run on
  • One calibrated quality bar across the full series
  • Named an Audible Best Podcast of 2025

Problem

A limited series needed one creative and technical bar across a 4-person engineering team, plus AI voice performance decisions that matched a producer's ambiguous creative direction — under daily delivery deadlines.

Solution

Directed a team of 4 engineers, owned ElevenLabs voice creation and performance decisions with the show's producer, writer/host, and EP, and translated notes like "it should sound like it's thinking, not reading" into concrete voice settings.

Results

Named an Audible Best Podcast of 2025 and nominated for The Ambies (Best Documentary Podcast) and The Podcast Academy (Best Podcast) in 2026 — with a client and producer who trusted the process without re-checking every pass.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

Small Talk Is Dead

Spotify / Gimlet

Engineered and composed original music for Spotify's culture podcast, blending conversational audio with dynamic scoring.

Small Talk Is Dead artwork

AUDIO ENGINEER & COMPOSER · PRO TOOLS · ABLETON · WAVES

01 — Process

Concept

Record

Edit

Score

Mix

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Ad-hoc handoffs between stages
  • Inconsistent mix quality
  • Manual, undocumented sessions

After

  • Broadcast-ready mixes, every episode
  • Repeatable spotting & delivery templates
  • Full-stack, scalable workflow

Problem

An original series needed end-to-end production support: research, logistics, engineering, and music, with consistent Spotify-level mixes and efficient workflows.

Solution

Worked from concept to publication: recorded, edited, mixed, composed cues, and built repeatable templates and documentation for sessions, spotting, and delivery.

Results

Co-created and shipped the original series with broadcast-ready mixes and original music, demonstrating full-stack podcast production and scalable workflow design.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

We Were All Rooting For You

Best Case Studios / Audible

Led audio production for this Audible original, managing full post-production pipeline from raw recordings to final master across 8+ episodes.

We Were All Rooting For You artwork

SENIOR AUDIO PRODUCER · PRO TOOLS · RX · NOTION

01 — Process

Intake

Clean

Edit

QC

Review

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • No consistent session structure across episodes
  • Ad-hoc dialogue cleanup
  • Scattered producer feedback

After

  • Clean, repeatable Pro Tools session structure
  • RX-driven QC checklist, every episode
  • 2025 Webby nomination, Best Culture Podcast

Problem

Archival and interview material needed heavy restoration and consistent mixes across a multi-episode series, under tight deadlines and exact Audible specs.

Solution

Owned the audio post pipeline. Designed QC checklists, an RX-driven dialogue chain, clean Pro Tools session structure, and a clearer producer review/revision system.

Results

Delivered broadcast-ready mixes to spec and helped the series earn a 2025 Webby nomination in Best Culture Podcast, while establishing repeatable studio standards.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

Black Cowboy

Autry Museum

Engineered audio for this museum podcast series exploring the untold history of Black cowboys in the American West.

Black Cowboy artwork

AUDIO ENGINEER · PRO TOOLS · WAVES · RX · ACCENTIZE

01 — Process

Assess

Restore

Balance

Tune

Review

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Archival recordings too degraded for a public exhibition
  • Risk of restoration flattening historical authenticity
  • No mix tuned for exhibition-specific playback

After

  • Clear, accessible audio for exhibition visitors
  • Source character and cultural context preserved
  • Deliverables approved by museum stakeholders

Problem

Historical recordings for a museum exhibition needed restoration to be intelligible and accessible in a public space, without damaging authenticity or cultural context.

Solution

Applied advanced restoration and cleanup in Pro Tools, RX, Waves, and Accentize, collaborated with museum stakeholders, and tuned deliverables for exhibition playback constraints.

Results

Improved clarity and accessibility of archival audio for visitors while preserving the source character, supporting the exhibition's educational and cultural goals.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

Conviction S4: Max B

Spotify / Gimlet

Mixed and scored Season 4 of Gimlet's investigative series, weaving original compositions with archival audio to build narrative tension.

Conviction S4: Max B artwork

AUDIO ENGINEER & COMPOSER · PRO TOOLS · DESCRIPT · WAVES

01 — Process

Restore

Integrate

Score

Mix

QC

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Archival audio and interviews at inconsistent quality
  • No unified sonic identity across dialogue, design, and music
  • Tight production constraints risking inconsistent episodes

After

  • Consistent broadcast-quality mixes across the season
  • Original score integrated with archival material for tension
  • Delivered on platform spec and production timeline

Problem

A narrative true-crime series needed consistent broadcast-quality audio and original music that supported emotional beats while staying within tight production constraints.

Solution

Handled dialogue restoration and sound design integration, composed the score, and managed revision cycles and documentation to keep the team aligned and compliant with platform specs.

Results

Delivered polished episodes with improved intelligibility and cohesive sonic identity, supporting story pacing and emotional impact from mix through final delivery.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Audio — Featured

Silence in Sikeston

KFF Health News

Engineered and composed original music for this acclaimed documentary exploring racial violence and justice in small-town Missouri.

Silence in Sikeston artwork

AUDIO ENGINEER & COMPOSER · PRO TOOLS · RX · LOGIC PRO

01 — Process

Restore

Compose

Design

Mix

Continuity

Deliver

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Archival material needing heavy restoration
  • No established sonic identity for the series
  • Deadlines requiring consistency across episodes

After

  • Cohesive, award-recognized soundscape
  • Broadcast-ready mixes preserving archival authenticity
  • NABJ Best Podcast 2025 winner

Problem

A narrative documentary series required a distinctive sonic identity and heavy restoration of archival audio, while staying consistent across episodes and deadlines.

Solution

Composed original music, designed sound, restored archival material, and mixed in Pro Tools, RX, and Logic. Built repeatable approaches for continuity and QC.

Results

Delivered a cohesive, award-recognized series soundscape and broadcast-ready mixes — a NABJ Best Podcast 2025 winner — while preserving the authenticity of archival sources.

Other Audio Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Systems — Featured

Small Talk Is Dead — Production System

Spotify / Gimlet

Designed and managed the end-to-end production system for Spotify's original podcast, coordinating remote teams across time zones with structured workflows and automated handoffs.

EXECUTIVE PRODUCER · PRO TOOLS · NOTION · RIVERSIDE

01 — How This Got Solved

Audit

Architect

Build

Onboard

Operate

Scale

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • Concepting & status scattered across docs
  • Context lived in individual inboxes
  • Revisions tracked manually

After

  • One relational system, single source of truth
  • QC checkpoints built into the workflow
  • Reusable framework for future seasons

Problem

Podcast production needed an end-to-end operating system to manage concepting, scripting, guests, status tracking, revisions, and delivery without losing context or momentum.

Solution

Architected an integrated Notion system spanning the full lifecycle: relational databases, QC checkpoints, revision workflows, research repositories, and team coordination.

Results

Trained 15+ non-engineers to run the system independently, enabled clearer ownership and real-time visibility across the pipeline, and created a reusable framework for consistent, professional show delivery.

Other Systems Work

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

Systems — Featured

Supervsn — Design Team Management

Supervsn

Structured the design team's entire workflow — from brief intake to final delivery — enabling a 5-person team to ship 3x more campaigns without increasing headcount.

SYSTEMS ARCHITECT · NOTION · FIGMA · SLACK

01 — Process

Intake

Plan

Review

Track

Focus

Ship

Hover a stage for what actually happened there.

02 — Transition & Outcome

Before

  • No shared brief format, inconsistent scope
  • No visibility into workload or velocity
  • Constant context-switching across projects

After

  • Standardized brief templates and sprint workflow
  • Real-time capacity dashboard for leadership
  • 3x campaign output, same headcount

Problem

A growing design team had no structured intake, task routing, or review process, leading to bottlenecks, unclear priorities, and inconsistent delivery timelines.

Solution

Designed and deployed a Notion-based management system with brief templates, sprint workflows, review pipelines, and a capacity dashboard for transparent workload tracking.

Results

Enabled clearer ownership, reduced context-switching, and gave leadership real-time visibility into design output, velocity, and revision cycles.

Other Systems Work

  • SÜPRMARKT — Client PortfolioSystems Architect · Notion · Automation
  • Notion Creative Ops SystemSystems Architect · 20+ stakeholders
  • Azzahr — International Team WorkspaceProject Manager · Notion · Slack
  • L'idem — Notion 101 ClassesEducator · Beginners to advanced

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

AI Audio & Video — Current

Calibrating What "Good" Sounds Like

Handshake AI · Turing · Micro1

Designs the tasks and rubrics that train next-generation audio AI models, then evaluates model output against those same standards — on both sides of the bar. Applies the same evaluation discipline to generative video and structured audio-event annotation.

AI AUDIO & VIDEO SPECIALIST · RUBRIC DESIGN · MODEL EVALUATION · CALIBRATION

01 — Process

Design

Rubric

Score

Calibrate

Refine

Enforce

Hover a stage for what actually happened there.

02 — Two Sides of the Rubric

Writing the Bar

  • Author technical task definitions across production DAWs
  • Translate creative prompts into objective, measurable rubrics
  • Design multi-step, chained production workflows

Enforcing the Bar

  • Score AI-generated speech against tone, intention & quality
  • Calibrate standards across a distributed contributor pool
  • Surface edge cases that refine the spec and the model

Problem

Frontier AI audio models need production-grade tasks and rubrics written by someone who actually knows what broadcast-quality audio requires — and evaluators who can tell the difference between "close" and "right."

Solution

Author complex, multi-hour production briefs and grading rubrics across four DAWs, then audit peer-submitted tasks and model outputs against those same criteria — calibrating scoring standards across a distributed contributor pool.

Results

Completed 100+ discrete evaluation tasks, selected for an invite-only program, and trusted with elevated, end-to-end ownership of program quality — translating a decade of setting creative and technical bars for human teams into the standards now training AI ones.

Related Work

  • Turing — Voice Performance & AI Evaluation2025–2026 · Voice recording, speech evaluation
  • Micro1 — Audio & Video EvaluationGenerative model QC, structured annotation
  • Best Case Studios — What Could Go WrongElevenLabs voice direction, Audible original

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

About

How I Work

A decade in award-winning audio production, now applying the same ear to how AI models get trained and judged.

Engineered and composed for Spotify, Audible, and KFF Health News. Directed a 4-engineer team through an Audible original. Built the production systems that let non-engineers run a show without me in the room.

I've written 5+ SOPs across audio engineering, workflow design, and AI evaluation — the throughline is standards someone else can pick up and run on. That's the same discipline I now bring to designing rubrics and evaluating model output for Handshake AI, Turing, and Micro1.

AUDIO PRODUCTION LEAD · SYSTEMS ARCHITECT · AI AUDIO & VIDEO EVALUATION

01 — Practices

Audio

Systems

AI

Hover a practice for what it actually covers.

10+ Years

Across 50+ episodes and 2M+ cumulative plays — Spotify, Audible, and KFF Health News.

15+ Trained

Non-engineers trained to run production systems independently — no me in the room.

5+ SOPs

Written across audio engineering, workflow design, and AI evaluation — standards other people run on.

Audio Production Lead — AI Audio QA Lead

Lonnie Ro.

I engineer sound for stories, build the systems production teams run on, and train the AI that now has to meet the same bar.

10+ years across 50+ episodes and 2M+ cumulative plays — Ambie- and Webby-recognized audio for Spotify, Audible, and PBS. Built the production systems 15+ non-engineers could run independently — the same calibration now applied to AI voice models.

I build production systems, team coordination, and workflow architecture that lets talent focus on craft

I engineer sound for stories — podcast production, scoring, and mixing for award-winning media at the highest level

I direct brand identity from concept to capsule — creative direction, graphic design, and product design for culture-driven brands

Project Topology

Where the work lives.

Each dot is a project — mapped by what it demanded. The vertical axis runs from Craft (hands-on making) to Strategy (systems thinking). Horizontal runs from Culture (mission-driven) to Commerce (brand-driven). Hover to explore.

Strategy Craft Culture Commerce Teaching & Shaping Building the Machine Making for Meaning Making for Brands
Systems
Audio
Visual

Let's build something that works.

I'm taking on custom infrastructure, automation, and workflow architecture projects — alongside creative production.

hello@lonniero.xyz →