For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Oluwakemi Ojo

Oluwakemi Ojo

AI Data Annotation Specialist - Technology & Internet

UNITED_KINGDOM flag
Hull, United Kingdom
$20.00/hrIntermediateLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Segmentation

Freelancer Overview

I am a detail-oriented professional with hands-on experience in AI data annotation and LLM evaluation, where I review and refine AI-generated content for clarity, accuracy, and logical consistency. My background spans both freelance AI evaluation and structured public sector roles, equipping me with strong analytical judgment, critical thinking, and a keen eye for identifying inconsistencies. I am skilled in applying objective evaluation criteria, fact-checking, and providing clear, actionable feedback to improve conversational AI systems. My work involves assessing reasoning quality, comparing outputs, and refining prompts to enhance AI performance, and I am committed to delivering high-quality, reliable data that supports the development of advanced NLP solutions.

IntermediateEnglish

Labeling Experience

Label Studio

AI Data Annotation & LLM Evaluation (Freelance)

Label StudioTextSegmentation
Contributed to a healthcare-focused text annotation project aimed at improving the accuracy and reliability of AI-generated medical information. Annotated clinical and patient-facing text by identifying key entities (e.g., symptoms, conditions, medications), labelling spans for factual accuracy, and flagging misleading or unsupported claims. Applied structured evaluation guidelines to assess clarity, tone, and reasoning quality to ensure outputs aligned with healthcare communication standards. Conducted basic fact-checking using trusted public medical sources to support annotations.

Contributed to a healthcare-focused text annotation project aimed at improving the accuracy and reliability of AI-generated medical information. Annotated clinical and patient-facing text by identifying key entities (e.g., symptoms, conditions, medications), labelling spans for factual accuracy, and flagging misleading or unsupported claims. Applied structured evaluation guidelines to assess clarity, tone, and reasoning quality to ensure outputs aligned with healthcare communication standards. Conducted basic fact-checking using trusted public medical sources to support annotations.

2024 - 2025

Education

U

University of Hull

Master of Art, Criminal Justice and Crime Control

Master of Art
2024 - 2024
F

Federal University Oye-Ekiti, Ekiti State

Bachelor of Science, Sociology

Bachelor of Science
2018 - 2018

Work History

M

Mitie

Prison Custody Officer

Hull
2025 - Present
S

Sainsbury's

Customer Advisor

Hull
2023 - 2025