Data Labeling Specialist

- It will be a plus if you have already worked on labeling for ML.

What you will get with us:

- English language at a B1 level;

- Internal clubs by professional directions: marketing, development, finance, recruiting;

- Trainings, courses, attending conferences;

- Stability in a project that is constantly scaling;

- Opportunity to grow professionally both vertically and horizontally;

- A team where your logic and ability to defend your own opinion are valued;

- Medical insurance, corporate doctor.

Work schedule 2/2 from 10:00 to 18:00.

At SKELAR, we have built an environment for professional self-realization:

- Networking and knowledge sharing as part of the culture. Among our colleagues are co-founders who have launched more than one business, as well as the strongest specialists on the market. So, we have access to the necessary expertise at our fingertips.

- Exclusive domain education. We have created our own training programs for teammates to choose from—ranging from a 2-month school for beginner managers to intensives on AI and professional clubs for development, product management, etc.

- Impact on systematic support for Ukraine. We have the SKELAR foundation charity fund, created by SKELAR team members themselves - and thanks to every employee, we bring important social projects to life. For example, we founded the first accelerator for veterans in Europe and are building a platform to support veterans at the state level.

- An ecosystem for productive work. Spaces have been created for Skelarians that inspire results—with their own gym, climbing wall, Bali green zones, and libraries. In spaces where service, security, and comfort are synchronized with the pace of team growth, we get a wow-experience and work more effectively.

For professional realization, we have created an environment with expertise and unlimited possibilities—and we are looking for those who crave challenges.

Currently, we are looking for a Data Labeling Specialist to raise the bar of results together.

This is a person who helps neural networks understand contexts. Your role is detailed labeling of photos and texts according to guidelines. You don't just process content — you become a teacher for AI, where every decision you make becomes a benchmark for future technologies.

Your goals in this role:

- Achieve and maintain a consistently high data processing speed without losing the quality and accuracy of every single decision;

- Actively contribute to the formation of a unified team logic during the discussion of complex cases to minimize discrepancies in labeling;

- Demonstrate exceptional flexibility through the rapid mastery of new types of projects.

What is important to us:

- Ability to make logical decisions based on large volumes of information;

- Ability to clearly argue your opinion and explain the logic of your choice;

- Readiness for active teamwork;

- Rapid adaptation to new labeling rules that may change dynamically;

- Possession of your own laptop or PC and a stable internet connection;