Adekunle A.

Key Skills

Software

Scale AI

OneForma

Top Subject Matter

Large language model training

RLHF evaluation

code generation quality assurance

Top Data Types

Text

Image

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

AI Model Trainer & Evaluator | Outlier AI (Scale AI). Core strengths include Scale AI and Oneforma. Education includes Bachelor of Technology, Federal University of Technology, Minna (FUTMinna) (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

AI Model Trainer & Evaluator | Outlier AI (Scale AI)

Scale AITextRLHF

Trained and fine-tuned large language models using structured RLHF workflows, producing gold-standard instruction data to improve performance on reasoning, coding, and creative tasks. Authored thousands of high-quality prompt-response pairs and iteratively refined training examples based on evaluation outcomes. Performed comparative response assessments and ranked outputs using HHH (helpfulness, harmlessness, and honesty) criteria. • Created prompt-response datasets for instruction-tuned models (SFT/RLHF preparation) • Evaluated outputs via side-by-side helpfulness/harmlessness/honesty scoring and ranking • Reviewed and rated AI-generated code submissions for correctness and best practices • Participated in domain-specific training sprints (mathematics, logical reasoning, STEM) to expand coverage

2023 - Present

AI Data Annotator & Linguistic Analyst | Oneforma (Premise Data)

OneFormaTextEntity (NER) Classification

Provided detailed data annotation and linguistic analysis for AI and NLP training datasets across multiple languages and domains. Labeled named entities, sentiments, intents, and semantic relationships to support supervised learning pipelines and downstream model training. Completed transcription, speech, and localization-oriented validation to improve quality for English and West African language contexts. • Labeled NER, sentiment, intents, and semantic relationships in large text corpora • Performed audio transcription and speech annotation for speech recognition datasets • Conducted localization feedback and cultural context assessments for targeted language data • Verified grammatical accuracy and naturalness of AI-generated text (English and Nigerian Pidgin)

2022 - 2023

Education

Work History