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D
Derria

Derria

AI/Data Training Specialist – Text Annotation & Labeling

Key Skills

Software

Other

Top Subject Matter

General AI/ML Training
Computer Vision
AI Model Development

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
Object DetectionObject Detection

Freelancer Overview

AI/Data Training Specialist – Text Annotation & Labeling. Core strengths include Internal, Proprietary Tooling, and Other. AI-training focus includes data types such as Text, Image, and Computer Code and labeling workflows including Classification, Object Detection, and Computer Programming.

Labeling Experience

AI Training Specialist – Code Annotation & Categorization

I reviewed and categorized code samples as part of AI and machine learning dataset preparation. Code was evaluated for syntax, structure, and relevance to dataset goals. Consistent categorization standards were strictly observed throughout the process. • Segmented code samples for specific machine learning tasks • Verified quality and correctness of code labels • Participated in code review and debugging sessions • Enhanced dataset utility through effective coding practices

Present

Image Annotation Specialist – Object Detection

OtherImageImageObject DetectionObject Detection

As part of the project experience, I annotated images for object detection tasks aimed at improving AI model performance. I applied consistent bounding box techniques and followed strict annotation protocols. Regular feedback and iteration were used to enhance accuracy. • Labeled images according to class definitions • Ensured data integrity throughout the process • Utilized platform tools for annotation management • Coordinated with QA for double-checking outputs

Present

AI/Data Training Specialist – Text Annotation & Labeling

TextTextClassificationClassification

As an AI/Data Training Specialist, I annotated and labeled large-scale text datasets to train AI and machine learning models. I reviewed, categorized, and validated textual data to ensure labeling accuracy and consistency. Quality assurance checks and adherence to project guidelines were integral to maintaining high standards. • Performed quality control to meet dataset standards • Ensured all annotations followed prescribed taxonomies • Used Python and SQL tools for data processing • Collaborated in a multidisciplinary team environment

Present