for Sber's team to create data labeling interfaces and web services used for training artificial intelligence algorithms.
Tasks:
- Creating labeling interfaces for new projects in AC Tagme
- Frontend development for web applications
- Processing labeling results with scripts
- Interacting with users and responding to requests within the labeling service
- Performing urgent point adjustments, fixing incidents, and implementing small functional improvements upon request from the team or business
Requirements:
- Basic knowledge of JavaScript and TypeScript (understanding types, interfaces)
- Understanding of React fundamentals (components, hooks, state)
- Familiarity with state managers (Redux, MobX, or similar — at the theory or educational project level)
- Experience creating custom React components (educational or pet projects)
- Familiarity with build systems (Vite, Webpack — basic understanding is sufficient)
- Readiness to use AI code generation tools (e.g., Gigacode) and interest in process optimization
Conditions:
- Hybrid work format
- Annual salary review and annual bonus
- Over 400 educational programs from SberUniversity for professional and career development
- Adaptation program and mentor support at the start
- Extended voluntary medical insurance, preferential family insurance, and corporate pension program
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- Prime subscription with the possibility of shared use among three close individuals
- Referral bonus for recommending friends to the Sber team
Skills:
- JavaScript
- TypeScript
- React
- Redux
- MobX
- Vite
- Webpack
- Gigacode
- Figma
- Jest
- React Testing Library
