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Kharashi K.

Kharashi K.

AI Data Trainer & Annotation Specialist | NER | Text Classification |RLHF

Nigeria flagIbadan, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

Technology
Data Analytics
Education

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification
RLHFRLHF
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection

Freelancer Overview

I have hands-on experience in AI data training and annotation, including text classification, sentiment labeling, Named Entity Recognition (NER), and intent annotation for NLP model training datasets. I have completed RLHF (Reinforcement Learning from Human Feedback) tasks — ranking and evaluating AI-generated responses for helpfulness, accuracy, and safety — as well as adversarial prompt testing to identify model weaknesses. I consistently maintain high accuracy and adherence to complex annotation guidelines across high-volume tasks. Beyond direct annotation work, my background in Computer Science, data analytics, and IT support has sharpened the core skills that make a great AI trainer — critical thinking, structured data handling, attention to detail, and the ability to interpret and apply detailed guidelines precisely. I hold a B.Sc. in Computer Science from Ladoke Akintola University of Technology and have worked with JSON and CSV data formats, annotation platforms, and quality review workflows.

Labeling Experience

In one of my data annotation projects, I worked on a text classification and Named Entity Recognition (NER) task where I

In one of my data annotation projects, I worked on a text classification and Named Entity Recognition (NER) task where I tagged entities such as persons, organizations, locations, and dates across a large set of documents. I carefully followed detailed annotation guidelines to ensure consistency, delivered the labeled data in structured JSON format, and maintained an accuracy rate above 95% throughout the project. This experience strengthened my ability to handle high-volume annotation tasks while keeping quality and guideline adherence as top priorities.

Not specified

Education

L

Ladoke Akintola University of Technology (LAUTECH), B.TECH in Computer Science and Engineering

Degree not specified

Not specified
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Work History

C

Company not specified

Data Analyst

Location not specified
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