Data Annotation Project Manager (m/f/d)

Why voize? Because we’re more than just a job!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 600 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. Your Mission: Enabling high-quality speech data at scaleWe’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 tableExperience in project management/coordinationA background in computational or general linguistics - whether you’ve worked with transcriptions, linguistic annotations, NLP pipelines or machine learning dataComfortable collaborating across functions - from data and ML to product and support teamsGood understanding of data quality, annotation, and basics of machine learning workflowsClear communicator and able to turn ambiguity into structure and actionComfortable with change and iteration - you adapt to evolving priorities and help others stay focused when plans shift.You speak German on a business fluent (C2) level or better, and have an excellent command of English (C1+) Your Daily Business – No two days are alikeYou plan, coordinate and track data annotation projects - ensuring smooth collaboration between multiple teamsYou define annotation requirements and quality metrics - translating abstract machine learning needs into clear, actionable tasks for the data teamYou contribute to annotation guidelines and quality control - helping the team stay aligned, even when interpretations varyYou support working students - onboarding new team members, sharing best practices, and upskillingYou document project flows, processes, and learnings - making sure information is clear, accessible, and easy to maintainYou flag risks and blockers early - voicing challenges around data, capacity or tooling before they impact delivery. Our Success Mindset – How we work at voizeResilience is one of your strengths – you see challenges as opportunities, not obstaclesIterative working suits you – you test, learn, and improve constantly instead of waiting for perfectionCommunication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback Growing together – what you can expect at voizeBecome a co-creator of our success with virtual stock optionsOur office is in Berlin, and we offer remote workWe provide flexible working hours because you know best when you work most efficiently!Access to various learning platforms (e.g., Blinkist, Audible, etc.)We have an open culture and organize regular work weeks and team events to collaborate and bondWe are a fast-growing startup, so you'll encounter various challenges, providing the perfect foundation for rapid personal growthYour work will make a real impact, helping alleviate the workload for healthcare professionalsFree Germany Ticket and Urban Sports Club membership30 days of vacation – plus your birthday off✨ 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!Originally posted on Himalayas

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