Muhammad O.

Key Skills

Software

Other

Top Subject Matter

LLM response evaluation and RLHF preference data

LLM quality assurance and content policy review

Image dataset labeling and visual training asset creation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Data Collection

Freelancer Overview

I am a detail-oriented AI Data Annotator, Trainer, and Content Reviewer with extensive experience since 2023 producing high-quality datasets for machine learning models across text, image, and multimodal tasks. I possess a proven track record in Reinforcement Learning from Human Feedback (RLHF) workflows, prompt evaluation, red-teaming, and content quality review, consistently achieving 90–99% annotation accuracy. By identifying hallucinations, biases, and safety policy violations, I contribute directly to developing safer, more accurate, and context-aware Large Language Models (LLMs) for AI companies in the US and Europe. Additionally, I leverage a strong professional background as a Freelance Designer and Visual Content Creator based in Lagos, Nigeria, since 2020. I design brand identities, user interface (UI) mockups, and digital marketing assets for international clients and tech startups using tools like Figma, Webflow, Framer and Canva. By integrating AI image generation tools like Midjourney and DALL-E into my creative workflows, I have successfully reduced turnaround times by 30% while bridging the gap between graphic design and visual data annotation.

Labeling Experience

Freelance AI Data Annotator & AI Trainer (RLHF)

OtherTextRLHF

Executed RLHF workflows by ranking AI-generated responses and assigning scalar preference feedback to guide LLM fine-tuning. Wrote preference annotations and structured justifications to support training signal quality. Performed evaluation-style annotation to ensure outputs met client instruction-following, accuracy, and safety expectations. • Response ranking and preference annotation for RLHF • Scalar feedback and detailed annotation rationale • Consistency checks against client requirements and style guides • Guideline-contribution via iterative reporting

2024 - Present

Content Reviewer & Quality Analyst (AI QA labeling)

OtherText

Reviewed AI-generated content for factual accuracy, policy compliance, harmful content detection, and brand voice consistency for AI product teams. Logged findings in structured QA reports and documented hallucination, bias, and instruction-following failures. Updated or helped refine annotation guidelines based on model evolution and new task requirements. • Factuality and policy compliance checks • Hallucination/bias identification with QA logging • Instruction-following and tone/voice consistency review • Annotation guideline updates for emerging model behaviors

2023 - Present

Freelance Designer & Visual Content Creator (visual labeling/data assets)

OtherImageData Collection

Created labeled image datasets and produced visual training assets for clients in the AI and e-commerce space. Applied annotation-related work to support downstream model training and evaluation. Delivered design-ready assets and dataset labeling outputs that align with client labeling needs. • Labeled image datasets and annotated visual content • Prepared training data assets for AI use cases • Supported e-commerce-related visual labeling needs • Integrated AI image generation tools into client workflows

2020 - Present

Education

Work History