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Діана

Data Entry Operator

Age:
34 years
City of residence:
Lviv
Ready to work:
Remote

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DIANA HERASYMOVA
AI Data Annotator | Content Labeling Specialist | Trainee QA

RELEVANT EXPERIENCE

Content Analysis & Evaluation (Remote, Independent Work)
Self-employed | 2023 – Present

● Reviewed and analyzed text content based on predefined criteria
● Evaluated clarity, relevance, and structure of written materials
● Followed strict guidelines and documentation standards
● Maintained accuracy and consistency across repetitive tasks

Content Producer/Content Analysis
Laba (Online Education Platform) | 2022 – 2023

● Analyzed large volumes of educational text content
● Checked content quality and relevance
● Structured and categorized learning materials
● Reviewed feedback and classified user responses
● Maintained structured reports and datasets

Educational Content Structuring & Review
ThinkGlobal / Karpachoff.com | 2016 – 2019

● Reviewed and organized educational content
Detail-oriented AI Data Annotator with ● Ensured alignment with content standards
strong experience working with large ● Worked with structured text frameworks
volumes of text, structured content, and
evaluation criteria. Skilled in content
labeling, classification, quality control,
guideline-based decision making, and
EDUCATION
consistency checks. Experienced in
synchronous and asynchronous remote Bachelor’s Degree in Psychology
work. Strong attention to detail,
Taras Shevchenko National University of Kyiv
accuracy, and task repeatability.

📍
📧 Remote KEY STRENGTHS FOR DATA ANNOTATION

🌍 [open contact info](look above in the "contact info" section)
Languages: Ukrainian (native), English
(B2 – written)
●
●
High concentration on repetitive tasks
Neutral and unbiased judgment
● Comfortable with strict rules and edge cases
● Reliable deadline adherence
● Independent work style

CORE DATA ANNOTATION SKILLS

● Text classification & labeling
● Content relevance evaluation
● Fact consistency checks
● Sentiment & intent tagging
● Category matching
● Following detailed annotation guidelines
● Working with large repetitive datasets
● Quality assurance & error detection

TOOLS & WORK ENVIROMENT

Google Docs / Sheets
● Notion
● LMS platforms
● CRM systems
● Task-tracking tools (Trello, Asana, Zoho)

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