Kelechi I.

Key Skills

Software

Don't disclose

Top Subject Matter

NLP (NER, intent, toxicity)

Computer vision (image classification)

NLP (sentiment analysis)

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Data Annotator & QA Reviewer | Atlas Capture (NLP annotation and QA). Core strengths include Don't disclose. Education includes Bachelor of Optometry, Federal University of Technology Owerri. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Classification, and Evaluation.

Labeling Experience

Data Annotator & QA Reviewer | Atlas Capture (Sentiment labeling and QA)

Don't discloseText

Executed sentiment analysis labeling and verification as part of AI training dataset preparation. Carried out inter-batch quality assurance to ensure consistent label application and minimize errors. Reviewed conflicting sentiment outputs and finalized correct labels based on project rules and edge-case reasoning. • Labeled sentiment analysis data points for model training. • Completed accuracy auditing and QA verification on annotated datasets. • Adjudicated conflicting labels and applied edge-case logic. • Coordinated remotely to clarify schema requirements and improve labeling consistency.

2025 - 2026

Data Annotator & QA Reviewer | Atlas Capture (Image classification labeling and QA)

Don't discloseImageClassification

Annotated image classification datasets by assigning labels to images according to task guidelines for machine learning model training. Performed quality assurance reviews to maintain high accuracy standards across all batches. Participated in conflict adjudication when multiple annotations disagreed, ensuring finalized labels match the intended schema. • Labeled data points for image classification tasks. • Audited annotations for accuracy and guideline compliance. • Resolved annotation disputes using adjudication procedures. • Escalated ambiguous cases and suggested guideline improvements during review cycles.

2025 - 2026

Data Annotator & QA Reviewer | Atlas Capture (NLP annotation and QA)

Don't discloseTextEntity (NER) Classification

Performed NLP data annotation for Named Entity Recognition, including labeling entity spans and resolving guideline edge cases for consistent training data. Conducted quality assurance checks on annotated outputs to ensure labeling accuracy and adherence to project schemas. Adjudicated and corrected conflicting annotations by applying detailed guidelines and reasoning to finalize ground truth. • Labeled NER datasets for NLP model fine-tuning. • Reviewed intent classification and toxicity detection annotations as part of QA workflows. • Resolved disputed labels through dispute resolution and edge-case escalation. • Collaborated remotely with project managers to clarify schemas and flag ambiguous samples.

2025 - 2026

Education

Work History