Сервіс пошуку роботи №1 в Україні
Діана
Data Entry Operator
- Вік:
- 34 роки
- Місто проживання:
- Львів
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. пошту
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/18692694/
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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
🌍 [відкрити контакти ](див. вище в блоці «контактна інформація»)
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)
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
🌍 [
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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