Emediong E.

Key Skills

Software

Mercor

Micro1

Other

Top Subject Matter

Responsible AI development

text annotation

instruction-response evaluation

Top Data Types

Text

Top Task Types

Transcription

Relationship

Freelancer Overview

Data Labeling & AI Annotation (Independent Practice). Core strengths include OpenTrainingAI. Education includes Bachelor of Engineering, University of Uyo (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Labeling & AI Annotation (Independent Practice)

OtherText

Provided independent AI text annotation and evaluation across multiple task types, applying guideline-based labeling for consistent dataset quality. Performed instruction-response quality rating by reviewing outputs for factual accuracy, clarity, tone, and logical consistency against task requirements. Maintained labeling logs and self-review checklists to ensure consistency throughout annotation batches. • Labeled text for classification, sentiment, and instruction-response quality. • Performed critical reading to identify ambiguities and guideline misalignment. • Managed task queues, deadlines, and quality targets without external oversight. • Ensured batch-to-batch consistency using documented self-check procedures.

2024 - Present

Knowledge Graph & Deep Learning Bug Detection System (Final Year Project)

Relationship

Contributed to an AI deep learning bug detection system that uses structured knowledge graph information to improve semantic defect identification. Developed and integrated components of the AI pipeline into an application layer to support accurate interpretation of model outputs. Supported collaborative documentation and reporting of findings for academic evaluation. • Built a contextual bug detection approach combining knowledge graphs with deep learning models. • Developed web interface and backend logic to connect the AI pipeline with usability-focused outputs. • Interpreted model outputs carefully to improve semantic accuracy of defect detection. • Collaborated with teammates on technical reports and presentations.

2023 - 2024

Education

Work History