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  • Posted: Nov 12, 2025
    Deadline: Not specified
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  • It’s safe to say that distribution is in our DNA. Our relationships with services like iTunes, MTN Music Plus and YouTube date back to their launch in Nigeria, and our growing library of award-winning music and content makes us your perfect end-to-end global distribution partner. As part of our offering, we’ll get your music and content to digita...
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    Technical Consultant

    Role Overview

    • We’re seeking a Technical Consultant with hands-on experience in speech dataset collection—ideally someone who has contributed to projects such as NaijaVoices, Mozilla Common Voice, or Lanfrica.
    • The consultant will help us design, audit, and validate a small-scale voice recording pipeline for AI model development.

    Key Responsibilities

    • Audit studio setup to ensure AI-grade voice recording quality (microphone placement, acoustic control, and data format).
    • Develop a concise SOP for voice recording and metadata tagging (accent, language, emotion, speaker ID, etc.).
    • Train the in-house production and A&R team on data collection discipline and file management.

    Ideal Candidate Profile

    • Strong background in speech-to-text (ASR) or text-to-speech (TTS) dataset collection.
    • Prior experience working with African languages, dialects, or accents.
    • Familiarity or active involvement in communities like NaijaVoices, Lanfrica, Masakhane, or Common Voice Africa.
    • Based in Lagos or able to travel for the engagement.
    • Excellent communication and documentation skills.

    Preferred Networks / Communities

    • We encourage candidates from:
    • AI / Data Science communities (keywords: “NaijaVoices,” “Lanfrica,” “speech data,” “ASR Nigeria”).
    • Local AI groups such as Data Scientists Network (AI+), Zindi Africa, or Masakhane.
    • University departments in Linguistics, Computational Linguistics, or Speech Technology.

    Check how your CV aligns with this job

    Method of Application

    Send your CV or portfolio (highlighting relevant speech dataset work) and a brief note on your experience with African language data projects to: hr@freemedigital.com

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