Olamide L.

Key Skills

Software

Scale AI

Other

Clickworker

Mindrift

Telus

Toloka

OneForma

Mercor

Appen

AWS SageMaker

Top Subject Matter

LLM evaluation

prompt-response data for AI training

and AI safety-oriented quality review.

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Red Teaming

Evaluation/Rating

Transcription

Text Summarization

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI Content Evaluator / Data Labeler (Freelance via Scale AI). Core strengths include Scale AI, Other, and N. Education includes Bachelor of Science, University of Abuja (2018) and Certification, New Horizons International (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF, Entity (NER), and Red Teaming.

Labeling Experience

AI Safety & Red Teaming Project (as part of AI training/evaluation work)

TextRed Teaming

Participated in an AI safety and red teaming effort to identify vulnerabilities in prototype conversational models. Attempted to bypass or break safety filters to expose risks involving harmful content, privacy leaks, and misinformation. Used findings to improve safety-related evaluation and training coverage. • Tested safety filter bypass attempts • Assessed exposure of privacy leakage risks • Evaluated misinformation and harmful content vulnerabilities • Reported vulnerability themes for mitigation

2023 - 2025

AI Content Evaluator / Data Labeler (Freelance via Scale AI)

Scale AITextRLHF

Evaluated LLM responses for factual accuracy, logic, grammar, and adherence to constraints to support model optimization. Created prompt-response pairs to train models in specialized domains and conducted RLHF by ranking multiple outputs with detailed textual justifications. Maintained high quality scores across high-priority tasks and contributed to quality assurance as a reviewer. • Factual accuracy and logic grading of LLM outputs • Multi-turn/dialogue grading and constraint adherence checks • Ranking multiple model outputs with justification • Prompt + response writing for SFT-style training data

2023 - 2025

Data Annotation Specialist (Welocalize)

OtherText

Annotated large-scale datasets containing text to support development of NLP applications, including tasks like named entity recognition and sentiment-related labeling. Identified and flagged ambiguities, biases, and edge cases in raw datasets to refine annotation guidelines with data scientists. Adapted quickly to rapidly shifting project rubrics and mastered new labeling software and guidelines shortly after onboarding. • Named Entity Recognition (NER) labeling • Sentiment analysis style annotation • Ambiguity and bias/edge-case identification • Rapid rubric and software adaptation

2020 - 2023

Education

Work History