Operating system, Windows

About the project, As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines., , You will own the end-to-end lifecycle of high-quality data acquisition, annotation and curation to power our AI and ML models. Sitting at the intersection of engineering, product and vendor operations, you will manage project budgets, design domain taxonomies and establish evaluation benchmarks alongside ML engineers and product leaders. By leveraging GenAI tools, LLM-as-a-judge frameworks and process automation, you will streamline labeling workflows, maintain data governance policies and drive scalable dataset curation across the organization.

Your responsibilities, Own the annotation pipelines from raw to annotated ground truth datasets which satisfy both technical and operational constraints, Work with data from multiple sources and domains, such as text, images, and structured datasets in multiple languages., Cooperate closely with Product Managers and Tech Leaders across the organization to understand business needs, collect requirements for new annotation pipelines and allocate resources (budgets, subject domain experts), Prepare and improve guidelines by gathering feedback, analyzing annotations and quality/efficiency metrics., Implement and improve quality assurance processes for data annotation pipelines, optimizing both cost and quality of delivered datasets, Analyze annotated datasets, ensuring their high quality, finding potential biases and risks in using them for training ML models, Dive into the details including occasionally annotating data yourself, providing feedback for existing tools and proposing new features

Demonstrated ability to manage data annotation projects across multiple teams, building sustainable processes, coordinating release schedules and building consensus on difficult issues, Practical knowledge of data annotation and quality assurance methods, Good understanding of machine learning concepts, tasks, and metrics, Understanding of statistical concepts applicable to data annotation tasks, Strong verbal and written communication skills in Polish and English, Demonstrated experience of managing annotation guidelines, High attention to detail and demonstrated commitment to data accuracy, High organizational skills, strengths in problem solving, issue-resolution, ability to work in a deadline-driven work environment, Proficiency in standard workflow software (JIRA, Excel, etc.)

Optional, Degree in Linguistics or STEM related fields, Demonstrated ability to use metrics to back up assumptions and evaluate research or business outcomes e.g. peer-reviewed scientific publications, Basic knowledge of scripting languages, regular expressions, github and coding agents for data processing and workflow automation

What we offer, Flexible working hours in the hybrid model (4 days in the office / 1 day remote) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work., Long term discretionary incentive plan based on https://jobeax.com/link/eExv7EVwvUxnOkx6 shares (restricted stock units)., Annual bonus based on your annual performance and company results., Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms)., A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories., A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers)., English classes that we pay for related to the specific nature of your job., A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings., An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal., Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits

#goodtobehere means that:, You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA., You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create., You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job., You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support)., You will create solutions that will be used (and loved!) by your friends, family and millions of our customers., You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning., You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

Data Annotation Project Manager

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