About us: Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers
About the client and the role: Our client is a software company that develops and distributes software for macOS and iOS. We are seeking an AI Datasets Lead (data generation & annotation) to join the AI team, overseeing the entire data annotation process and supporting AI and machine learning initiatives. This role requires strong leadership skills combined with a good understanding of data collection and annotation for machine learning models.
Requirements: * Proven experience leading a data annotation team * Basic understanding of AI/ML concepts (data annotation needs, task types, neural network training) * Good knowledge of data labeling processes and familiarity with relevant tools, platforms, and best practices in the data annotation field * Basic understanding of data collection processes (web scraping, dataset management) * Strong leadership, communication, and organizational skills with the ability to convey technical aspects to both technical and non-technical stakeholders * Strong ability to manage uncertainty and bring clarity to unstructured situations — handle incoming requests without predefined processes, structure the chaos, and progressively build clear, actionable workflows for the team * Experience with quality assurance processes for large datasets * Keen attention to detail and the ability to balance multiple projects and priorities simultaneously * Openness to frequent feedback from multiple stakeholders and readiness to quickly adapt processes in real time based on that input * Experience with data privacy regulations and ethical considerations in data annotation * Strong analytical skills to monitor processes and implement improvements based on data-driven insights * Ability to develop and implement data quality metrics and KPIs to measure the effectiveness of annotation processes * Experience managing budgets & external partnerships * Upper-intermediate level of English.
Responsibilities: * Organize and supervise the data annotation process, ensuring its accuracy and quality * Build and lead the data annotation team, coordinate team tasks and workflows, and foster the team development * Implement quality control processes, analyze errors, and improve standards * Develop and maintain annotation guidelines and documentation to ensure consistency and accuracy across the team * Optimize annotation processes and explore automation opportunities * Closely collaborate with data engineers to develop efficient data processing solutions and tools, and implement automated data processing workflows to streamline annotation processes * Collaborate closely with ML Engineers to align data annotation efforts with machine learning model requirements and understand the neural network training process * Take part in cross-functional coordination and cooperation with other colleagues * Manage costs related to data sourcing and annotation * Explore outsourcing & alternative data solutions, manage cooperation with external freelancers and partners, including searching, selecting, and organizing cooperation with them to meet the organizational needs * Ensure compliance with data privacy and security regulations throughout the data annotation process
The company offers: * Hybrid work model * Health and mental programs * Flexible working hours * Time-off policy * Team and growth * Different social initiatives.
