Audio Data Quality Specialist JT AI Labs (MFD)

As one of the first members of JT AI Labs you will own the quality of the audio datasets we collect from the first applicant sample to the dataset the client accepts:

Review audio by ear and with tools: noise echo clipping distortion silence cross-talk and leakage between tracks narrowband or Bluetooth input and wrong sample rates or formats.

Check that recordings meet each projects specification: duration speaker profile language and accent spontaneity of speech and absence of personal data the expert shouldnt have shared.

Review applicants audio samples in our review console and help decide who is accepted. Monitor speaker quotas (age gender region accent hours per speaker) against client targets.

Write and maintain QC guidelines rejection reasons and the issue taxonomy. Turn them into clear recording instructions and training material for experts.

Run and extend our QC scripts on session exports. Work with the data engineer to decide which checks get automated and to tune their thresholds against your human judgement.

Design and run the human sample review that complements automated QC. Calibrate reviewers and measure their agreement so decisions stay consistent across projects.

Track and report quality metrics: QC rejection rate per project and per expert recurring issues client acceptance rate. Propose improvements to the platform and the recording setup.

Qualifications :

You have a degree in Audio Engineering Sound Production Phonetics or Linguistics Data Science or a related field or equivalent professional experience.

You have 2 years of experience in audio quality control speech data QA transcription or annotation QA or audio post-production.

You have a trained ear and can reliably hear subtle problems: background noise compression artefacts clipping echo mic handling channel imbalance.

You understand the technical basics of digital audio: sample rates bit depth codecs lossless versus lossy formats mono and multi-track recordings.

You are comfortable with audio tools such as Audacity Praat iZotope RX or a DAW and can read a waveform and a spectrogram.

You can write and adapt small scripts in Python or Bash to batch-check files parse metadata or compute statistics (ffmpeg sox soundfile pandas or similar). You dont need to be a software engineer but you automate anything you do twice.

You understand what makes speech data useful for training ASR or TTS models or you are keen to learn.

You thrive in a startup setting: you enjoy building processes from scratch taking ownership and navigating ambiguity.

You communicate clearly with experts clients and engineers and can explain a rejection in a way people accept.

You are autonomous curious and comfortable in a fast-evolving ecosystem.

Professional proficiency in English bilingual in French.

Nice to have

Experience with ASR or TTS datasets or with a speech data provider.

Knowledge of objective audio metrics (SNR voice activity detection speech quality scores) and how they relate to perceived quality.

Experience designing gold or honeypot tasks running calibration sessions or measuring inter-annotator agreement.

Additional languages or a good ear for regional accents which helps check speaker profiles across projects.

Additional Information :

At JobTeaser get ready to

• Join a mission-driven company with a concrete impact on the new generation.
• Share our three core virtues with our people all over Europe: #OneTeam #Ownership #Innovation.
• Take part in a dynamic internal life where everyone can contribute (all-hands local parties team drinks team-buildings etc.).
• Grow and develop your career with a strong training policy including an annual individual budget for learning opportunities (95% of our employees were trained last year!).
• Enjoy our flexible work environment: remote-friendly with one month per year from anywhere in Europe and home office equipment support.
• Benefit from our Family Care Policy: 4 additional paid days off during your return month from parental leave 3 paid child-sick days per year and other initiatives to support parents.
• Take care of your mental health with Moka Care: 4 free therapy or coaching sessions per year (with additional support in challenging personal situations) plus regular workshops for managers in partnership with Moka Care and Alan.
• Make your voice count: our Take Care Survey (run twice a year) ensures employee feedback directly shapes JobTeasers culture collaboration and cross-team work.
• Protect your focus time with our No-Meeting Wednesday mornings initiative.
• Collaborate closely with our CSE actively involved in enhancing work life and benefits (with the HappyPal platform)
• Enjoy the essentials: RTT health insurance lunch vouchers holiday bonus and 50% public transport reimbursement.
• A modern and well-located office at WeWork - including delicious barista coffee and free yoga lessons.
• Be proud: 88% of our employees say they are proud to work in their team at JobTeaser (Internal Take Care Survey November 2024).

Your hiring process and the next steps

In order to identify the perfect fit for us (and also for you!) we offer a comprehensive hiring process with the possibility to get to know all your future key team members and between each step of your process you will receive constructive feedback from our Talent team.

1. A 30-min screening call to get to know you better with Emilie our Talent Strategy & Business Partner
2. An interview with Paul your future manager to discuss about your experiences and motivations
3. One or several focus interview that can include business cases to test your hard skills
4. A final round with your Department Head to confirm the mutual match
5. Welcome at JobTeaser

We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique pre-established competency-based process.

Remote Work :

No

Employment Type :

Full-time