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Scale AI
CVAT
3D Sensor
Image
Audio
Segmentation
Cuboid
Bounding Box
Classification
Polygon
Object Detection
Text Generation
Prompt + Response Writing (SFT)
Data Collection
Computer Programming/Coding
Evaluation/Rating
Transcription
RLHF
Text Summarization
Question Answering
Entity (NER) Classification
Fine-tuning
PolylineFull-time Data Annotator with 2+ years of professional experience in autonomous driving at Ford Otosan, one of Turkey's leading automotive manufacturers. Specializes in image annotation and semantic segmentation workflows, with a strong focus on quality, consistency, and precision across large-scale datasets. Also brings additional experience in audio labeling, code labeling, and English-language data annotation across various AI training platforms. Holds a Bachelor's degree in Software Engineering from Sakarya University.
Computer Code ProgrammingEvaluation/RatingEvaluated AI-generated coding responses based on detailed project guidelines. Assessed response quality, accuracy, and adherence to instructions to support the training and refinement of code-focused language models.
AudioTranscriptionTranscribed audio recordings into accurate written text as part of large-scale AI training data projects. Advanced to a senior quality control role, reviewing and verifying transcriptions before client delivery. Responsible for maintaining accuracy standards and flagging systematic errors across the annotation team.
ImageClassificationPerformed image-based annotation tasks including structured information extraction from visual content. Classified and labeled image data to support computer vision model training pipelines.
TextText SummarizationWorked on multiple Turkish and English-language AI training tasks including text summarization, information extraction, and various NLP annotation workflows. Ensured linguistic accuracy and adherence to task-specific guidelines throughout.
3D SensorCuboidAnnotated LiDAR point cloud data using Deepen AI at Ford Otosan. Created 3D cuboid annotations for vehicles, pedestrians, and animals, assigning object parameters including dimensions, orientation, and classification labels. Responsibilities also included label review, quality verification, and reporting.
Bachelor's, Software Engineering
Deep Learning Intern
Data Annotator
