Data Engineer – Audio Datasets - JT AI Labs (M/F/D)

JT AI Labs; Paris; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Learning budget

Remote-friendly

Home office equipment support

Job summary

JT AI Labs in Paris is building the data foundations for our audio collection workflow, from raw recordings to client-ready datasets. You will own AWS storage, design processing jobs, and deliver secure, compliant pipelines that ensure traceability and data protection.

Join a startup-like environment within JobTeaser, collaborate with cross-functional teams, and contribute to iterative deliveries while advancing data engineering best practices.

Qualifications

• Master’s degree in CS, data engineering, or related quantitative field.
• 3+ years of production data pipeline experience.
• Proficiency in Python with NumPy and data tooling.
• Hands-on audio/signal data experience (ffmpeg, codecs, sample rates).
• Strong AWS experience (S3, IAM, KMS) and infrastructure as code (Terraform).
• Rigorous data quality, reproducibility and traceability.
• Familiarity with GDPR/PII handling and EU AI Act awareness.
• Professional English; bilingual in French.

Responsibilities

• Design and build data foundations for audio collection, from raw recordings to client datasets.
• Own audio storage design on AWS with encryption, lifecycle, and reconciliation.
• Develop audio processing jobs and QC pipelines; convert scripts to robust pipelines.
• Create dataset delivery pipeline with packaging, metadata, pseudonymised IDs and consent logs.
• Ensure traceability: link files to speakers/projects; manage deletions per consent.
• Ensure GDPR and EU AI Act compliance across storage and processing.
• Analyze datasets to spot quality issues and iterate solutions.
• Collaborate with Head of AI, full-stack engineer, and clients to meet goals.

Skills

Python

Data pipelines

NumPy

English

French

CI/CD

Debugging

Education

Master’s degree

Tools

AWS

Terraform

S3

Job 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.

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?

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.

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: #Committed, #OneTeam, #DrivEn.
• 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. Some positions can even be fully remote.
• 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.