Vocal Audio Specialist - Freelance AI Trainer Project
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Meridial
US
Summary
Autonomously record high-fidelity audio of controlled humming exercises to train AI audio models. Ensure precise pitch execution and rhythmic consistency while adhering to strict technical vocal directions.
Job Description
Project Overview
We are sourcing independent Vocal Audio Specialists to provide their expertise for an AI audio model training project. As AI models increasingly generate and interpret human musicality and vocal nuances, their accuracy relies entirely on robust, high-fidelity training data. The objective of this project is to autonomously record clean, professional-grade audio detailing human vocal pitch changes by performing consistent, highly controlled humming exercises.
Project Deliverables & Scope
Operate autonomously to generate precise audio assets and structured training data. Expected deliverables include:
- Vocal Recording & Pitch Execution: Recording clean, pitch-stable humming takes with dynamic control (e.g., humming softly without disappearing or louder without distorting), while strictly following tonal prompts (e.g., "hum a major 3rd," "stay in key").
- Rhythmic & Melodic Consistency: Demonstrating a solid "internal metronome" to follow beats and executing highly repeatable tasks, such as humming the exact same melody multiple times with minimal variation.
- Audio Engineering & Quality Control: Applying professional recording competence—including proper mic proximity, gain/input controls, and gain staging—to ensure distortion-free, high-fidelity audio capture within a controlled environment.
- Strict Instruction Adherence: Accurately executing highly specific vocal directions (e.g., "flat tone, no vibrato") to generate clean, reliable, and standardized data for model training.
Required Expertise
To successfully fulfill the deliverables of this project, Contractors must possess strong musical literacy paired with reliable home recording capabilities.
Core skillset includes:
- Demonstrable musical literacy and performance history (e.g., choir, band, a cappella, live gigs, audio engineering, or music production) with a calm, controlled voice and a highly trained ear for pitch stability.
- Hands-on experience in Voice Over (VO) work, studio recording, or prior AI audio training projects. (Candidates completely new to recording workflows will not meet the quality threshold for this project).
- Strong technical recording competence, including a deep understanding of gain staging, microphone technique, and how to operate recording equipment effectively.
- A meticulous, detail-oriented approach to following instructions and maintaining rhythmic and tonal consistency across multiple recorded takes.
- Required Asset: Must possess a controlled, quiet home recording environment capable of capturing clean audio free from background noise, clipping, or room echo.
We offer a pay range of $6-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer, professional recording equipment, and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Engagement Type: Freelance / Independent Contractor
Workplace Type: Remote
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Founded
2015
Company size
201-500 employees
Industry
Software Development
Org type
Privately Held
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Founded
2015
Company size
201-500 employees
Industry
Software Development
Org type
Privately Held