Muhammed H.

Key Skills

Software

Other

Top Subject Matter

Media outreach research and content/workflow automation

Business & Corporate Strategy

Technology & Startups/Fintech & Financial Technology

Top Data Types

Text

Video

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

I am a Strategic Communications and Data Analysis professional with over 4 years of experience specialising in high-level content evaluation, trend monitoring, and editorial quality assurance across the technology, fintech, and business ecosystems. My expertise lies in analysing complex text, performing fact-checking/source verification, and auditing written narratives for precise tone calibration, structural logic, and audience alignment. I routinely synthesise macroeconomic and industry trends into clear frameworks, making me highly skilled at training AI models to communicate complex ideas with absolute clarity. What sets me apart is my hands-on experience in integrating AI tools into professional research workflows to evaluate prompt accuracy, analyse data outputs, and optimise semantic structures. Having managed thought leadership and crisis messaging for C-suite executives, I bring an elite level of linguistic precision and risk assessment to Reinforcement Learning from Human Feedback (RLHF) and expert prompt engineering.

Labeling Experience

LLM Fine-Tuning and Strategic Research Evaluation (SFT)

OtherTextPrompt + Response Writing (SFT)

Engaged in human-in-the-loop evaluation and prompt testing for language models within a professional communications and research workflow. Responsibilities include testing generative AI models against real-world business and macroeconomic trend data to evaluate response accuracy and identify model hallucinations. Performed detailed text categorisation, grading model outputs based on logical structure, compliance with specific brand guidelines, and tone calibration. Authored comprehensive feedback justifications outlining structural errors, linguistic gaps, and contextual inaccuracies to assist in refining and training advanced language models.

2025 - Present

Semantic Content Annotation and Text Categorization

TextText Summarization

Performed high-volume text annotation and semantic data labelling for software and technology platforms. Utilised specialised semantic tools (including NeuronWriter) to analyse text datasets, identify target keywords, and categorise information based on specific search intent and contextual relevance. Tasks included classifying raw data, scoring text strings for algorithmic readability, and manually mapping out entity relationships within the content to optimise it for search engines. Adhered to strict quality control guidelines, ensuring 95%+ accuracy in text classification and data verification across multiple secondary information sources.

2021 - 2022

Education

Work History