Remote Audio Mix Engineer Jobs (NOW HIRING)

Specialised Part-Time Consulting Opportunity for Experienced Audio EngineersWe are sharing a specialised part-time consulting opportunity for experienced audio engineers with strong expertise in speech editing, voice-recording quality assurance, and text-to-speech (TTS) audio workflows, specifically for French-language content.

This role focuses on preparing and evaluating high-quality French speech audio for machine-learning and voice-AI applications. Selected professionals will edit, clean, and quality-check large volumes of voice recordings while ensuring consistency, naturalness, pronunciation accuracy, and compliance with technical audio specifications.

Key ResponsibilitiesEdit and process French voice recordings for speech and TTS applicationsPerform silence trimming, breath reduction or removal, de-clicking, de-essing, and noise reductionIdentify and correct clipping, distortion, background noise, and unwanted audio artifactsBalance loudness and recording levels across large batches of speech audioMaintain consistent audio quality across structured production workflowsFrench Speech Quality EvaluationEvaluate French recordings for pronunciation accuracy, fluency, and naturalnessIdentify unnatural delivery, articulation issues, or inconsistencies in spoken FrenchAssess speech quality using native or near-native listening judgementDistinguish between acceptable human speech variation and issues that may affect synthetic-voice trainingProvide precise quality feedback on recordings that require correction or reworkTTS & Voice AI Audio QualityPrepare audio that meets technical requirements for TTS and speech-AI training pipelinesReview recordings for consistency with dataset and model-training specificationsAssess audio quality across voice-talent recordings and structured speech datasetsSupport quality-control workflows designed for large-scale machine-learning datasetsIdentify technical or performance issues that could reduce the usefulness of training audioAudio QA & Dataset WorkflowsConduct systematic quality-assurance reviews across high-volume audio batchesApply consistent evaluation standards throughout repetitive production workflowsFlag technical defects, inconsistencies, and recording-quality issuesMaintain accuracy and throughput while working across large datasetsContribute to reliable audio QA, labelling, and evaluation processesIdeal ProfileNative or near-native French fluency with strong listening intuition for pronunciation, rhythm, and natural speechProfessional experience editing speech, dialogue, voice-over, or other voice recordingsStrong understanding of speech-audio quality standards and common recording defectsHands-on experience with tools such as iZotope RX, Pro Tools, or comparable audio-editing and restoration softwareAbility to identify and correct artifacts, inconsistencies, noise, clipping, and other technical audio issuesStrong critical-listening skills and attention to fine audio detailExperience working with high-volume audio datasets or structured production workflowsExperience with TTS, speech ML, voice AI, dataset creation, or audio annotation is highly valuedFamiliarity with audio QA pipelines, labelling, or evaluation processes is advantageousExperience editing or directing French voice-talent recordings is particularly relevantAbility to balance production speed with consistent quality across repetitive, high-precision workEngagement DetailsFully remote independent contractor engagementFlexible scheduling based on project requirementsCompensation: $40–$45/hourProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementStrong contributors may be considered for additional speech-audio and voice-AI projectsThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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