
Aktiviere Job-Benachrichtigungen per E-Mail!
Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf
Überzeuge Recruiter und verdiene mehr Geld. Mehr erfahren
A leading AI startup in Berlin is looking for a Data Annotation Project Manager. This role involves managing annotation projects for speech AI, ensuring collaboration across teams, and maintaining data quality. Ideal candidates should have project management experience and a background in linguistics, and should be fluent in US-English and German. The position offers flexible working hours, generous vacation days, and stock options, fostering a collaborative culture to enhance healthcare outcomes.
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 75.000 users. With our self-developed voize AI, we’re transforming the healthcare industry and creating value in other sectors too.
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!