Gizem U.-Bilingual AI Data Annotation & Quality Review Specialist
Check rate
Experience
Data Labeler → Reviewer
Alignerr
- Promoted from Labeler to Reviewer after consistently accurate, guideline-compliant annotations, taking on responsibility for auditing other labelers' work.
- Annotated and ranked LLM response quality on English-language datasets using Labelbox, applying structured rubrics to judge accuracy, tone, and adherence to task guidelines.
- As Reviewer, audited fellow labelers' submissions for accuracy and consistency across LLM ranking, transcription, and audio annotation tasks, flagging errors and edge cases before data moved downstream.
- Labeled and reviewed 1,000+ data rows on the platform, maintaining an 85% overall QA accuracy rate.
- Applied close-reading, bilingual judgment to catch subtle inconsistencies in tone, register, and instruction-following across large volumes of content.
Tier 3 Video Annotator
Atlas Capture
- Performed complex object and action labeling in video datasets at Tier 3 level, handling higher-difficulty annotation cases requiring precise judgment.
- Applied detailed annotation guidelines consistently across video frames, maintaining accuracy on nuanced object and action recognition tasks.
Design
- Designed web, UI, and branded visual assets within established design systems and style guides, maintaining consistency across print, web, and digital formats.
Translation, Localization & Content Review
Anonymous Çeviri
- Reviewed and localized English-to-Turkish game dialogue and UI text against detailed style guidelines, keeping terminology and tone consistent across hundreds of lines of content.
- Evaluated draft translations for tone, register, and cultural fit, flagging inconsistent or ambiguous phrasing before sign-off — the same close-reading, guideline-driven judgment central to AI training data review.
- Ran structured quality-control passes across final translations, adapting player-facing language for natural flow and cultural context.
Full-Stack Development
- Built and maintained backend and front-end systems in Python, C++, C#, and JavaScript against defined functional requirements.
- Debugged, tested, and documented changes with a consistent, detail-first approach across iterative releases.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, and Quality Assurance.
Summary
Bilingual (English/Turkish) data annotation specialist with hands-on experience labeling, ranking, and reviewing data for AI training pipelines, backed by a background in software development, design, and game localization. Promoted from Labeler to Reviewer at Alignerr for consistent, guideline-driven judgment across LLM response ranking, transcription, and audio annotation tasks. Comfortable working independently against structured rubrics and quality standards, with a technical foundation that makes it easy to pick up new annotation tools and platforms.
Skills
- Data & Content Review: Data Annotation And Labeling, Llm Response Ranking, Quality Assurance (Qa), Labelbox, Applying Guidelines/Rubrics/Style Guides, Flagging Inconsistencies And Errors, Structured And Unstructured Data, Transcription, Audio Annotation, Video Annotation (Object/Action Labeling), Attention To Detail And Consistency
- Language & Localization: Translation And Localization (En ↔ Tr), Bilingual Content Review, Tone And Register Adaptation, Dialogue And Ui Text Adaptation, Cultural Context Adaptation
- Technical: Python, C++, C#, Javascript, Php, React, Html, Css, Git Version Control, Debugging And Qa Testing
- Design & Web: Figma, Adobe Illustrator, Photoshop, Procreate, Web/Ui Design Within Brand Guidelines
- Work Approach: Analytical And Structured Thinking, Clear Written Communication, Following Complex Multi-Step Guidelines, Independent Remote Work Management
Languages
Statistics
Experience
Expertise
Profile
Frequently asked questions
Have questions? Find more information here.
Gizem is based in İzmir, Turkey.
Gizem speaks the following languages: Turkish (Native), English (Advanced).
Gizem has at least 9 years of experience. During this time, Gizem has worked in at least 5 different roles and for 3 different companies. The average length of individual experience is 2 years and 9 months. Note that Gizem may not have shared all experience and actually has more experience.
Based on recent experience, Gizem would be well-suited for roles such as: Data Labeler → Reviewer, Tier 3 Video Annotator, Design.
Gizem's most recent position is Data Labeler → Reviewer at Alignerr.
In recent years, Gizem has worked for Alignerr and Atlas Capture.
Gizem is most experienced in industries like Information Technology.
Gizem is most experienced in business areas like Information Technology, Product Development, and Quality Assurance.
Gizem has recently worked in industries like Information Technology.
Gizem has recently worked in business areas like Information Technology, Product Development, and Quality Assurance.
The availability of Gizem needs to be confirmed.
Daily rate distribution
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 9 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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