Abdulbaqie Z.

Key Skills

Software

Other

Top Subject Matter

NLP dataset labeling for AI model training

Machine learning image dataset annotation

Education & E-learning

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Classification

Transcription

Freelancer Overview

Freelance Data Annotator | Remote AI Projects. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Engineering, N/A (2020). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Classification, and Transcription.

Labeling Experience

Freelance Data Annotator | Remote AI Projects

OtherAudioTranscription

Performed audio annotation tasks for machine learning datasets in remote AI projects. Focused on accurate labeling to support downstream model training and evaluation. Applied quality assurance procedures to preserve dataset integrity. • Annotated audio data for ML pipelines • Maintained labeling accuracy requirements • Performed quality control checks • Supported reliable training data creation

2023 - Present

Freelance Data Annotator | Remote AI Projects

OtherImageClassification

Performed image annotation as part of machine learning dataset labeling for remote AI projects. Ensured high accuracy and consistency throughout large-scale annotation workflows. Conducted reviews and quality control to maintain data integrity. • Annotated images for ML datasets • Applied accuracy/consistency checks • Identified and resolved labeling errors • Contributed to dataset readiness for model training

2023 - Present

Freelance Data Annotator | Remote AI Projects

OtherTextEntity (NER) Classification

Annotated multilingual datasets for NLP tasks to support machine learning model training. Focused on sentiment, intent, and named entity labeling to improve AI performance. Performed consistency checks across large-scale annotation pipelines. • Labeled sentiment and intent • Tagged named entities (NER) • Ensured consistency across multilingual data • Supported NLP dataset quality through review cycles

2023 - Present

Education

Work History