Data Engineer – Audio Datasets - JT AI Labs
Paris, IDF, France
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingOwn audio storage on AWS, including encryption, versioning and retention rules
Build audio processing jobs for alignment, resampling and format validation
Design and run the dataset delivery pipeline with metadata, checksums and secure transfer
Ensure every file traces to its speaker, project and consent, and handle consent withdrawal deletions
Analyse datasets to catch quality problems early
From the employer’s posting
Own audio storage on AWS: bucket design, encryption, versioning, lifecycle and retention rules
Build audio processing jobs: track alignment between speakers, resampling to client specifications, and format validation
Design and run the dataset delivery pipeline: packaging to client spec, file naming, metadata manifests, pseudonymised speaker IDs, consent records per file, checksums, and secure transfer.
every file can be traced to its speaker, project and consent, and consent withdrawal deletes every version of the affected data and logs the deletion
Analyse datasets, spot quality problems early, propose solutions and iterate quickly.
Education & alternatives
Qualifications ● You hold a Master’s degree (or equivalent) in Computer Science, Data Engineering, Applied Mathematics or a related quantitative field. ● You have 3+ years of experience building and running data pipelines in production.
Company Description JT AI Labs is JobTeaser's dedicated AI venture, born in 2026. Our mission is to connect domain experts (Master's, PhDs, professionals) with leading AI labs that need top-tier human expertise to train their models — through annotation, evaluation, and complex problem-solving across STEM, Law, Finance, Humanities, and more. We believe high-quality AI is built by humans who master nuance, logic, and depth. We're here to make that happen at scale, within a European framework built on transparency, flexibility, and quality.
Tools in this posting
- Python
- AWS
- S3
- Terraform
- NumPy
Source — Tool mentions in context
● You have 3+ years of experience building and running data pipelines in production. ● You are proficient in Python and comfortable with NumPy and the data tooling around it. ● You have hands-on experience processing audio or other signal data: ffmpeg, formats and codecs, sample rates, and signal quality metrics.
As one of the first members of JT AI Labs, you will design and build the data foundations of our audio collection activity, from the raw recording to the dataset delivered to the client: ● Own audio storage on AWS: bucket design, encryption, versioning, lifecycle and retention rules, and reconciliation between the database and storage. ● Build audio processing jobs: track alignment between speakers, resampling to client specifications, and format validation, transform quality control ad-hoc scripts into full blown quality control pipelines.
● You have hands-on experience processing audio or other signal data: ffmpeg, formats and codecs, sample rates, and signal quality metrics. ● You have strong experience with AWS (S3, IAM, KMS, lifecycle policies) and infrastructure as code (Terraform or similar). ● You are rigorous about data quality, reproducibility and traceability: checksums, manifests, versioning, idempotent jobs.
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 11 days ago
- Recorded sightings
- 15
- Last seen by us
- Nov 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
As one of the first members of JT AI Labs, you will design and build the data foundations of our audio collection activity, from the raw recording to the dataset delivered to the client:
● Own audio storage on AWS: bucket design, encryption, versioning, lifecycle and retention rules, and reconciliation between the database and storage.
● Build audio processing jobs: track alignment between speakers, resampling to client specifications, and format validation, transform quality control ad-hoc scripts into full blown quality control pipelines.
● Design and run the dataset delivery pipeline: packaging to client spec, file naming, metadata manifests, pseudonymised speaker IDs, consent records per file, checksums, and secure transfer.
● Guarantee traceability: every file can be traced to its speaker, project and consent, and consent withdrawal deletes every version of the affected data and logs the deletion.
● Make sure all storage and processing complies with GDPR and EU AI Act data requirements.
● Analyse datasets, spot quality problems early, propose solutions and iterate quickly.
● Under the supervision of the Head of AI, work closely with the full-stack engineer, the delivery lead and clients to meet our goals on acceptance rate.
● Contribute to the team’s best practices in testing, CI/CD, data versioning and deployment automation.
Qualifications
● You hold a Master’s degree (or equivalent) in Computer Science, Data Engineering, Applied Mathematics or a related quantitative field.
● You have 3+ years of experience building and running data pipelines in production.
● You are proficient in Python and comfortable with NumPy and the data tooling around it.
● You have hands-on experience processing audio or other signal data: ffmpeg, formats and codecs, sample rates, and signal quality metrics.
● You have strong experience with AWS (S3, IAM, KMS, lifecycle policies) and infrastructure as code (Terraform or similar).
● You are rigorous about data quality, reproducibility and traceability: checksums, manifests, versioning, idempotent jobs.
● You are familiar with data protection requirements (GDPR, PII handling, pseudonymisation), and you are aware of the EU AI Act or keen to learn about it.
● You have a pragmatic, analytical, and results-oriented mindset: you favor frequent iterative deliveries over long research tunnels.
● You thrive in a startup setting: you enjoy building from scratch, taking ownership, and navigating ambiguity.
● You enjoy working in cross-functional teams (Operations, Tech, Product) and can translate client specifications into reliable pipelines.
● You are autonomous, curious, and comfortable in a fast-evolving ecosystem.
● Professional proficiency in English, bilingual in French.
Nice to have
● Experience with speech datasets for ASR or TTS: voice activity detection (Silero VAD or similar), speaker diarisation, and transcription tools.
● Experience delivering datasets to AI labs or data buyers, and with their delivery conventions.
● Experience with annotation tools (e.g. Label Studio) and human-in-the-loop quality workflows.
● Experience with health-data or other regulated data environments.
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 JobTeaser’s 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.
- A 30-min screening call to get to know you better with Emilie, our Talent Strategy & Business Partner
- An interview with Paul, your future manager to discuss about your experiences and motivations
- One or several focus interview that can include business cases to test your hard skills
- A final round with your Department Head to confirm the mutual match
- 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.
Company Description
JT AI Labs is JobTeaser's dedicated AI venture, born in 2026. Our mission is to connect domain experts (Master's, PhDs, professionals) with leading AI labs that need top-tier human expertise to train their models — through annotation, evaluation, and complex problem-solving across STEM, Law, Finance, Humanities, and more.
We believe high-quality AI is built by humans who master nuance, logic, and depth. We're here to make that happen at scale, within a European framework built on transparency, flexibility, and quality.
JobTeaser – Our young grads got talent.
At JobTeaser, we believe the new generation is the future of business, and that young talent has so much to offer to the professional world and society as a whole.
But finding your path as a student? That’s not easy.
And for companies, understanding and recruiting this generation isn’t any simpler.
That’s where we come in.
JobTeaser is the career space of 800+ European schools and universities, seamlessly integrated into their Student Hubs.
👨🎓 For students: a platform and tools to help them find their path, showcase their skills, and land an internship, a work-study program, or their very first job that truly fits them.
💼 For companies: privileged access to the best young talent, even before they officially enter the job market.
🏫 For schools & universities: a complete career and recruitment platform to boost students’ employability.
Today, we support over 2 million students and young graduates across Europe.
And you: are you ready to make an impact on the new generation?
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris, IDF, France
- 📚 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.
- Work authorization
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