Human Data - Engineer

The Data Engineer will build and maintain data pipelines and infrastructure, designing ETL processes, ensuring data quality, and optimizing data storage. Requires strong programming and database skills.

This role builds platforms, prototypes, tools, and infrastructure for scalable, high-quality human feedback to train and align AI models. The engineer will work across the stack, from backend pipelines to user interfaces, translating experimental alignment research into production infrastructure. The role requires strong software engineering fundamentals, full-stack development experience, and a focus on model safety and reliability.

This role designs, deploys, and optimizes GenAI data solutions for enterprise clients, owning the final quality of delivered datasets. The engineer works across engineering, data operations, and client delivery to build scalable validation and automation pipelines that meet strict accuracy and reliability requirements. Success involves translating ambiguous client needs into clear workflows and delivering zero-defect datasets for GenAI model development.

This role focuses on building and scaling data acquisition systems to ingest and process large volumes of people and company data. The engineer will work on data pipelines, web scraping, and API integrations to ensure high-quality data delivery.

This support agent role handles customer inquiries and issues related to X Money, a payments product. Responsibilities include resolving customer issues, providing product information, and ensuring a positive customer experience.

This role manages client accounts for digital native and e-commerce businesses, focusing on driving growth and retention. It requires experience in account management and a solid understanding of the e-commerce landscape.

This role involves tutoring AI models in Ukrainian, providing feedback and evaluations to improve model performance. Requires native-level proficiency in Ukrainian and understanding of AI training processes.