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M

Mujeeb Adepoju

AI Data Trainer / Subject Matter Expert | Hivemicro, Oneforma, Neon, Fluffle

Nigeria flagMinna, Nigeria
$100.00/hrIntermediateOtherHivemindOneforma

Key Skills

Software

Other
HiveMindHiveMind
OneFormaOneForma

Top Subject Matter

Stem Domain Expertise
Life Sciences
Microbiology Domain Expertise

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

RLHFRLHF
Text GenerationText Generation
Question AnsweringQuestion Answering
Object DetectionObject Detection
Red TeamingRed Teaming
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text SummarizationText Summarization
Fine-tuningFine-tuning

Freelancer Overview

AI Data Trainer / Subject Matter Expert | Hivemicro, Oneforma, Neon, Fluffle. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Federal University of Technology, Minna (2019 to 2026). AI-training focus includes data types such as Text and labeling workflows including RLHF.

IntermediateEnglishYoruba

Labeling Experience

AI Data Trainer / Subject Matter Expert | Hivemicro, Oneforma, Neon, Fluffle

OtherTextRLHF
As an AI Data Trainer and Subject Matter Expert, I evaluated and fine-tuned large language model outputs for scientific and nonscientific accuracy. My responsibilities included prompt engineering, model preference ranking, hallucination auditing, and contributing to supervised fine-tuning datasets. I worked across multiple platforms in the STEM and life science domains, improving model reliability and factual rigor. • Evaluated LLM responses for factual and logical integrity • Designed complex prompts to stress-test model reasoning • Ranked and scored responses, supporting RLHF pipelines • Labeled high-quality prompt-response pairs for SFT alignment

As an AI Data Trainer and Subject Matter Expert, I evaluated and fine-tuned large language model outputs for scientific and nonscientific accuracy. My responsibilities included prompt engineering, model preference ranking, hallucination auditing, and contributing to supervised fine-tuning datasets. I worked across multiple platforms in the STEM and life science domains, improving model reliability and factual rigor. • Evaluated LLM responses for factual and logical integrity • Designed complex prompts to stress-test model reasoning • Ranked and scored responses, supporting RLHF pipelines • Labeled high-quality prompt-response pairs for SFT alignment

2025 - Present

Education

F

Federal University of Technology, Minna

Bachelor of Technology, Microbiology

Bachelor of Technology
2019 - 2026

Work History

I

Independent Research

Microbiology Researcher and Laboratory Analyst

Minna
2020 - 2025