Data Annotation Project Manager

vor 1 Tag

Berlin, Berlin, Deutschland voize Vollzeit 90.000 € - 110.000 € pro Jahr
Why voize? Because we're more than just a job

At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.

Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact.

voize is backed by Ycombinator and Europe's leading VCs, already installed in over 1.000 senior care homes and trusted by more than users. With our self-developed voize AI, we're transforming the healthcare industry and creating value in other sectors too.

Your Mission: Enabling high-quality speech data at scale

We're looking for a structured and collaborative Data Annotation Project Manager (m/f/d) to lead annotation projects that power our speech AI. You'll translate complex data needs from tech, product, customer success, and support into clear, actionable tasks. At the same time, you'll support a growing team of annotators and ensure the data we deliver is consistent, accurate, and scalable. If you enjoy working at the intersection of tech, language, and people - this role is for you

Your Skillset – What you bring to the table

  • Experience in project management

  • A background in computational or general linguistics - whether you've worked with transcriptions, linguistic annotations, NLP pipelines or machine learning data

  • Have collaborated across multiple functions - from data and ML to product and support teams

  • Good understanding of data quality, annotation, and basics of machine learning workflows

  • Clear communicator and able to turn ambiguity into structure and action

  • Comfortable with change and iteration - you adapt to evolving priorities and help others stay focused when plans shift.

  • You speak US-English on a business fluent (C2) level

  • You are speak German fluently, ideally C1

Your Daily Business – No two days are alike

  • You plan, coordinate and track data annotation projects - ensuring smooth collaboration between multiple teams

  • You define annotation requirements and quality metrics - translating abstract machine learning needs into clear, actionable tasks for the data team

  • You contribute to annotation guidelines and quality control - helping the team stay aligned, even when interpretations vary

  • You support working students - onboarding new team members, sharing best practices, and upskilling

  • You document project flows, processes, and learnings - making sure information is clear, accessible, and easy to maintain

  • You flag risks and blockers early - voicing challenges around data, capacity or tooling before they impact delivery.

Our Success Mindset – How we work at voize

  • Resilience is one of your strengths – you see challenges as opportunities, not obstacles

  • Iterative working suits you – you test, learn, and improve constantly instead of waiting for perfection

  • Communication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback

Growing together – what you can expect at voize

  • We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving healthcare professionals more time for real patient care

  • We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely from Germany

  • Become a co-creator of our success with stock options

  • Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible

  • You decide when you work best, that means flexible working hours and a good hybrid set-up.

Ready to talk? Apply now

We look forward to your application and can't wait to meet you – no matter who you are or what background you have

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