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Gürkan Durna

Gürkan Durna

Linguist

Turkey flagİstanbul, Turkey
$20.00/hrIntermediateMicro1ImeritAppen

Key Skills

Software

Micro1
iMeritiMerit
AppenAppen
LabelboxLabelbox

Top Subject Matter

Turkish Speech Recognition and ASR
Turkish Language Model Evaluation
Conversational AI and Multimodal Systems

Top Data Types

AudioAudio
TextText
ImageImage
VideoVideo
DocumentDocument

Top Task Types

TranscriptionTranscription
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Linguist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Dataforce by Transperfect, Lilt, and Invisible Technologies. Education includes Bachelor of Arts, Cumhuriyet University (2024) and Erasmus+ Program, University of Évora (2023). AI-training focus includes data types such as Audio, Text, and Image and labeling workflows including Transcription, Evaluation, and Rating.

IntermediateEnglishTurkish

Labeling Experience

Linguist

AudioTranscription
Specialized in ASR post-editing for Turkish audio, ensuring transcriptions were accurate and natural. Refined speech recognition outputs by addressing pronunciation, accents, and semantic precision to enhance AI understanding. Managed and annotated complex audio segments using structured guidelines for consistency and accuracy. • Enhanced transcription naturalness by focusing on prosodic features. • Dealt with overlapping speech and disfluencies to maintain annotation quality. • Improved output quality for large-scale speech AI systems. • Ensured consistency with structured annotation protocols.

Specialized in ASR post-editing for Turkish audio, ensuring transcriptions were accurate and natural. Refined speech recognition outputs by addressing pronunciation, accents, and semantic precision to enhance AI understanding. Managed and annotated complex audio segments using structured guidelines for consistency and accuracy. • Enhanced transcription naturalness by focusing on prosodic features. • Dealt with overlapping speech and disfluencies to maintain annotation quality. • Improved output quality for large-scale speech AI systems. • Ensured consistency with structured annotation protocols.

2026 - Present

Multimodal Data Annotation Quality Control

Micro1Image
Reviewed and validated multimodal datasets, including text, images, and audio, for AI model training. Performed structured quality checks on data annotations to guarantee internal consistency and accuracy. Evaluated LLM outputs for clarity, contextual relevance, and adherence to guidelines. • Conducted prompt evaluation and quality control for annotation projects. • Identified localization errors and provided actionable feedback to annotators. • Ensured factual accuracy and instruction alignment in AI outputs. • Enhanced model performance through comprehensive dataset review.

Reviewed and validated multimodal datasets, including text, images, and audio, for AI model training. Performed structured quality checks on data annotations to guarantee internal consistency and accuracy. Evaluated LLM outputs for clarity, contextual relevance, and adherence to guidelines. • Conducted prompt evaluation and quality control for annotation projects. • Identified localization errors and provided actionable feedback to annotators. • Ensured factual accuracy and instruction alignment in AI outputs. • Enhanced model performance through comprehensive dataset review.

2025 - Present

AI Trainer

Text
Trained and evaluated conversational data for advanced multimodal AI systems. Labeled conversational inputs and delivered structured feedback to improve accuracy and response quality. Identified hallucinatory outputs and intent mismatches to optimize model reliability. • Provided feedback targeting reasoning, tone, and clarity improvements. • Reviewed labeled data for precise task interpretation. • Supported robust system development for multimodal models. • Ensured alignment of AI outputs with user expectations.

Trained and evaluated conversational data for advanced multimodal AI systems. Labeled conversational inputs and delivered structured feedback to improve accuracy and response quality. Identified hallucinatory outputs and intent mismatches to optimize model reliability. • Provided feedback targeting reasoning, tone, and clarity improvements. • Reviewed labeled data for precise task interpretation. • Supported robust system development for multimodal models. • Ensured alignment of AI outputs with user expectations.

2025 - Present

Turkish Linguist | Language Intelligence & Model Quality

Text
Evaluated AI-generated Turkish content for linguistic clarity, naturalness, and accuracy, directly impacting AI language quality. Refined outputs to make them more human-like and contextually appropriate through rewriting and feedback. Ensured consistent quality across diverse content by providing targeted feedback. • Worked on content clarity and readability improvements. • Contributed to multilingual projects with a focus on cultural accuracy. • Evaluated and improved stylistic and tone aspects of outputs. • Enhanced model quality through iterative evaluation and guidance.

Evaluated AI-generated Turkish content for linguistic clarity, naturalness, and accuracy, directly impacting AI language quality. Refined outputs to make them more human-like and contextually appropriate through rewriting and feedback. Ensured consistent quality across diverse content by providing targeted feedback. • Worked on content clarity and readability improvements. • Contributed to multilingual projects with a focus on cultural accuracy. • Evaluated and improved stylistic and tone aspects of outputs. • Enhanced model quality through iterative evaluation and guidance.

2025 - Present

Reviewer | Multilingual AI Evaluation & Localization Specialist

Text
Led final-stage quality validation for multilingual localization and CBV workflows in production AI models. Ensured compliance with evaluation rubrics for large-scale LLM, ASR, TTS, and multimodal systems. Checked fluency, naturalness, and terminology for localization quality in multilingual outputs. • Identified and addressed reasoning failures and ambiguities in outputs. • Validated outputs against rigorous quality standards (CBV). • Ensured evaluator consistency across languages and guidelines. • Contributed to human-aligned AI system evaluation and localization.

Led final-stage quality validation for multilingual localization and CBV workflows in production AI models. Ensured compliance with evaluation rubrics for large-scale LLM, ASR, TTS, and multimodal systems. Checked fluency, naturalness, and terminology for localization quality in multilingual outputs. • Identified and addressed reasoning failures and ambiguities in outputs. • Validated outputs against rigorous quality standards (CBV). • Ensured evaluator consistency across languages and guidelines. • Contributed to human-aligned AI system evaluation and localization.

2025 - 2025

Education

C

Cumhuriyet University

Bachelor of Arts, English Language and Literature

Bachelor of Arts
2020 - 2024
U

University of Évora

Erasmus+ Program, Linguistics

Erasmus+ Program
2023 - 2023

Work History

L

Language Intelligence & Model Quality

Turkish Linguist

Location not specified
2025 - Present
M

Multilingual AI Evaluation & Localization Specialist

Reviewer

Location not specified
2025 - 2025