Joseph D.

Key Skills

Software

No software listed

Top Subject Matter

Image datasets and supervised ML training data

Text datasets for AI/ML training

Audio transcription for AI training datasets

Top Data Types

Image

Text

Audio

Top Task Types

Classification

Entity (NER) Classification

Transcription

Freelancer Overview

Data Labeling Projects (Self-Practice and Training) — Image classification and QA. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Senior Secondary School Certificate, N/A. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Entity (NER) Classification, and Transcription.

Labeling Experience

Data Labeling Projects (Self-Practice and Training) — Audio transcription capability

AudioTranscription

You performed audio transcription as part of your broader data labeling and annotation skill set. You likely produced text transcriptions to convert spoken content into labeled training inputs. You applied quality-focused review habits to maintain output reliability. • Audio-to-text transcription • Attention to detail during transcription • Verification of transcription accuracy • Support for dataset creation for ML/AI

Present

Data Labeling Projects (Self-Practice and Training) — Text annotation and verification

TextEntity (NER) Classification

You annotated text and image datasets following project guidelines to support machine learning and AI systems. You performed data verification by checking labeled outputs for accuracy and consistency. You maintained attention to detail throughout repetitive annotation workflows. • Text annotation for dataset labeling • Data verification and consistency checks • Correction of labeling inconsistencies • Following detailed annotation instructions

Present

Data Labeling Projects (Self-Practice and Training) — Image classification and QA

ImageClassification

You classified images into predefined categories according to project guidelines. You also reviewed and corrected labeling inconsistencies to improve dataset quality. You ensured labeled data remained accurate and consistent across tasks. • Category-based image classification • Quality assurance checks for labeling consistency • Correction of mislabels and inconsistencies • Adherence to predefined project instructions

Present

Education

Work History