Uzochukwu N.

Key Skills

Software

Remotasks

Toloka

Appen

Other

Top Subject Matter

Machine learning dataset preparation

AI training data labeling

AI training content evaluation

Top Data Types

Image

Text

Audio

Top Task Types

Object Detection

Classification

Transcription

Entity (NER) Classification

Freelancer Overview

AI Data Annotator – Remotasks (Remote). Core strengths include Remotasks, Toloka, and Appen. Education includes Bachelor’s Degree, University of Nigeria, Nsukka and Senior Secondary School Certificate, Adventist Technical Secondary School. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Classification, and Evaluation.

Labeling Experience

Freelance Data Annotation Specialist – (Remote)

OtherTextEntity (NER) Classification

Created labeled datasets for computer vision and natural language processing tasks. Performed text classification and sentiment analysis while also tagging images for related tasks. Ensured produced datasets met application standards for machine learning and AI model development. • Performed text classification and sentiment analysis • Labeled and organized CV and NLP datasets • Tagged images for AI training • Ensured datasets met required standards

Not specified

Freelance Data Annotation Specialist (Remote)

OtherAudioTranscription

Performed labeling for audio datasets as part of training data preparation for AI systems. Applied annotation guidelines to tag and organize audio content with consistent quality. Conducted accuracy-focused review work to ensure labels met required standards. • Labeled audio data for ML dataset creation • Followed annotation guidelines for consistent tagging • Supported dataset organization for model training • Performed quality-focused checks

Not specified

AI Training Data Contributor – Appen (Remote)

AppenText

Contributed to AI training by evaluating and annotating online content according to project specifications. Focused on search relevance and content evaluation tasks to support downstream model performance. Maintained confidentiality and produced accurate results within assigned timelines. • Evaluated search relevance and content quality • Annotated online data per project requirements • Ensured accurate handling of sensitive data • Delivered high-quality results on schedule

Not specified

Data Labeling Specialist – Toloka (Remote)

TolokaTextClassification

Categorized and labeled datasets used in AI training and automation systems. Conducted quality assurance reviews and corrected inconsistencies to improve dataset reliability. Collaborated with remote teams to maintain efficient task completion. • Labeled and categorized training datasets • Reviewed tasks for quality assurance • Corrected tagging and classification inconsistencies • Coordinated with remote teams to ensure efficiency

Not specified

AI Data Annotator – Remotasks (Remote)

RemotasksImageObject Detection

Performed image annotation for machine learning datasets following project-specific guidelines and quality standards. Checked labeling accuracy and consistency to support reliable model training outcomes. Worked independently and remotely to meet deadlines while maintaining high attention to detail. • Annotated images as part of ML dataset creation • Followed detailed annotation guidelines • Performed quality checks for accuracy and consistency • Delivered work aligned with productivity targets

Not specified

Education

Work History