Кирило
Data labeling specialist
- Considering positions:
- Data labeling specialist, Data annotator
- Age:
- 22 years
- City of residence:
- Khmelnytskyi
- Ready to work:
- Remote
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Data Labeling Specialist | Attention to Detail • AI Data Annotation • Python & Data Science
Bucharest, Romania (remote) | Email: [
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PROFILE
Detail-oriented specialist with a technical background (Computer Science degree, 3 years of commercial frontend development
experience) and hands-on skills in Python, Data Science, and Machine Learning. Experienced in data labeling and data
scraping, familiar with annotation tools (Labeling Studio) and graphic editors (Figma). Quick to adapt to new digital tools and
interfaces, able to maintain consistent quality on repetitive tasks over extended periods. Available for full-time or part-time
remote contract work.
KEY SKILLS
• Data Labeling / Data Annotation — labeling data accurately according to instructions and quality standards
• Labeling Studio — hands-on familiarity with the interface and labeling workflow
• Python (0.5 year) — scripting for data processing and preparation
• Data Scraping — collecting and structuring data from open sources
• Machine Learning / Data Science — basic models, data preprocessing, analysis
• Working with files, archives, and cloud storage (Google Drive, Dropbox, etc.)
• Figma — working with design mockups and graphic elements
• Attention to Detail — 3 years of commercial frontend development experience, where accuracy is critical
• English — B2 (Upper-Intermediate), confident with technical documentation and communication
• Independent troubleshooting of simple technical issues; experience with screen capture software
• AI Tools — Claude, Codex, local LLMs, experience with prompting and AI-assisted development
WORK EXPERIENCE
Frontend Developer — Commercial experience 3 years
• Developed and maintained user interfaces with high accuracy against technical specifications and design mockups
(Figma)
• Carefully reviewed UI/UX details, tested and fixed inconsistencies
• Completed tasks according to clear instructions and met deadlines in a remote setting
• Communicated with team members and clients in English and Ukrainian
Python / Data Science & ML — GoIT training + practical projects 0.5 year
• Wrote Python scripts for data scraping and processing
• Prepared and cleaned datasets for machine learning tasks
• Built and evaluated basic ML models in training and pet projects
• Gained familiarity with data labeling principles for training AI models
EDUCATION
Bachelor's Degree, Computer Science
Higher education institution
Python, Machine Learning and Data Science — GoIT
Specialized course / bootcamp
LANGUAGES
• Ukrainian — Native
• English — B2 (Upper-Intermediate)
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