Description review

Vocal Audio Specialist - Freelance AI Trainer Project

Invisible Technologies · United States · back to the listing

HR standards

62/100

needs work

Title ↔ description

65/100

needs work

Reads as

Unclear

no confident match

What the listing never says

  • No section describes what the person would actually do. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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:

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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").

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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.

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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.

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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.

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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

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 70 before penalties). Reviewed 21 Sep 2026.