Олена

OLENA TATCHUK
DATA ANNOTATOR | DATA LABELING SPECIALIST |
KYC & AI DATA OPERATIONS

ABOUT
Data Annotation and Data Processing Specialist with 4+ years of experience working with
large-scale datasets for AI and Machine Learning projects. Experienced in data labeling,
categorization, quality assurance, and annotation workflows across KYC, identity
verification, Computer Vision, NLP, healthcare, transportation, and cybersecurity domains.
Hands-on experience with CVAT, Label Studio, LabelMe, and other annotation tools.
Skilled in following complex annotation guidelines, reviewing and correcting labeled data,
maintaining project documentation, and collaborating with ML teams to meet data quality
CONTACT and model requirements.
P: [відкрити контакти](див. вище в блоці «контактна інформація») Domain experience includes KYC (Know Your Customer), identity verification, document-
E: [відкрити контакти](див. вище в блоці «контактна інформація») related data, and iGaming-focused projects.
T: @Tatchuk_Lena scale
LI: LinkedIn

Kyiv, Ukraine WORK EXPERIENCE
DATA LABELING SPECIALIST
PROFESSIONAL SoftConstruct Ukraine || APR 2022 - JAN 2026
TOOLS
•Performed data annotation and labeling for KYC (Know Your Customer) projects
CVAT supporting automated identity verification and fraud
LABEL STUDIO prevention.
Remoter.me • Annotated and categorized text and image-based data using LabelMe and Label Studio
according to detailed project guidelines.
LabelMe
• Assigned labels, tags, and categories according to predefined criteria and ML model
Photoshop
requirements.
Jira
• Reviewed and corrected annotated data to maintain high data quality and consistency.
Trello
• Collaborated with ML Engineers and project teams to clarify requirements and resolve
annotation issues.
PROFESSIONAL • Identified key objects, attributes, and relevant data elements according to project
SKILLS specifications.
• Created and maintained annotation guidelines, workflow documentation, and project
Data Annotation & Data Labeling instructions.
KYC & Identity Verification • Applied quality-control procedures and incorporated feedback to improve annotation
accuracy.
Data Categorization & Tagging
• Worked with data related to KYC / identity verification within an iGami
Data Quality Assurance
Quality Control & Data Review
Computer Vision Data DATA ANNOTATOR
Document & Text Annotation
LABEL YOUR DATA || APR 2022 - MAR 2024 (PROJECT-BASED)
Image Annotation
Annotation Guidelines & Labeled texts and invoices/bills in multiple languages using CVAT
Documentation and Remoter.me;
ML Data Operations Analyzed texts and assigned them to specific categories;
Collaboration with ML Engineers Recognize and tag required objects with high accuracy according to
Data Validation & Error the rules of the task;
Correction Creating and maintaining clear documentation for labeling
processes and project guidelines.

PERSONAL SKILLS
EDUCATION
Creative spirit Kryvyi Rih National University
Reliable and professional
Organized
Civil Engineering || 2009 - 2014
Time management
Team Collaboration
Fast learner Mini-course "Project management & AI"
Motivated Beetroot Academy Nov 2025 - Jan 2026

LANGUAGES Google AI Essentials
English - B1 Google Dec 2025
Polish - B1 (Certificate)
Ukrainian - Native Jan 2024 - Feb 2024
Russian - Native Mini-course "Fundamentals of Software Testing"
QATestLab