Data Annotation Project Manager (m/f/d)

At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.

voize is YCombinator-funded, already in use at over 1000 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.

But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.

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!

• 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

• 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.

• 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

• 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.

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