Sude Ş.

Key Skills

Software

Other

Telus

Appen

Scale AI

Top Subject Matter

NLP and LLM training data (sentiment, intent, entity recognition, response evaluation)

LLM instruction-tuning and multilingual annotation

Computer Vision labeling plus speech recognition audio annotation

Top Data Types

Text

Image

Document

Audio

Top Task Types

Fine-tuning

Segmentation

Classification

Transcription

Object Detection

Tracking

Freelancer Overview

Data Annotation Specialist — Centific (AI Data Annotation Projects) (Remote). Core strengths include Other, Telus, and Appen. Education includes Bachelor of Arts, Boğaziçi University. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Entity (NER), Fine-tuning, and Segmentation.

Labeling Experience

Data Annotation Specialist (Centific AI Data Annotation Projects) | Remote

OtherTextObject DetectionTranscription

Annotated large-scale datasets for AI model training across NLP and LLM use cases. Labeled data for sentiment analysis, intent classification, entity recognition, and response evaluation while maintaining strict guideline adherence. Conducted quality control (QC) checks and reviewed golden datasets to ensure high annotation accuracy and consistency. • Labeled NLP/LLM tasks including sentiment, intent, and entity recognition • Performed response evaluation annotation • Completed QC checks and reviewed golden datasets • Maintained 95%+ accuracy and complied with privacy/ethical standards

2024 - Present

Data Annotation Specialist — Centific (AI Data Annotation Projects) (Remote)

OtherText

Worked on NLP and LLM training data annotation aligned to sentiment, intent, and entity recognition tasks. Followed detailed guidelines to produce accurate, consistent annotations across large-scale datasets. Performed reviews and QC checks including validation against golden datasets. • Annotated text for NLP/LLM use cases including sentiment analysis and intent classification • Applied entity recognition labeling following project instructions • Conducted quality control and reviewed golden datasets for accuracy • Maintained 95%+ accuracy while complying with data privacy and ethical AI standards

2022 - Present

Senior Data Annotator — AI Training Data Projects (Freelance) (Remote)

OtherTextFine-tuning

Contributed to high-volume LLM training data and instruction-tuning datasets for model improvement. Completed multilingual annotation in English and Turkish while adhering to evolving guidelines and task requirements. Participated in identifying annotation errors and suggesting workflow improvements. • Performed instruction-tuning and LLM dataset annotation • Conducted multilingual labeling (English & Turkish) • Supported onboarding and guideline training for new annotators • Identified errors and proposed process improvements while meeting tight deadlines

2023 - 2024

AI Data Annotator (TELUS International AI) | Remote

TelusAudioTranscriptionSegmentation

Labeled computer vision datasets for model training using detailed region annotation formats. Applied bounding boxes, polygons, and segmentation labeling based on the project specification. Reported edge cases to help strengthen model robustness and dataset coverage. • Annotated images for computer vision projects • Used bounding boxes, polygons, and segmentation • Flagged edge cases to improve robustness • Ensured timely delivery of labeled outputs

2022 - 2023

AI Data Annotator — TELUS International AI (Data Annotation Projects) (Remote)

TelusSegmentation

Annotated computer vision datasets using spatial labeling tools to support training of vision models. Labeled regions using polygon-style boundaries and ensured correct placement for each annotated object. Supported model robustness by flagging edge cases for improved downstream performance. • Labeled images for computer vision using bounding boxes, polygons, and segmentation • Completed speech-related tasks including audio tagging and transcription for speech recognition models • Flagged edge cases to improve model robustness • Delivered assigned projects with full deadline compliance

2022 - 2023

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Education

Work History