Anderson Ntuk

Key Skills

Software

Label Studio

Argilla

Top Subject Matter

Business compliance

customer service

financial services

Top Data Types

Text

Document

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Freelancer Overview

AI consultant and entrepreneur with 3+ years building AI-powered Digital Employees for service businesses. Founder of 247AIWORKFORCE, where I design and deliver RLHF pipelines, LLM evaluation frameworks, and business AI workflows for enterprise clients including Zenith Bank. Expert in prompt engineering, preference data collection, instruction-following evaluation, and side-by-side model comparison. Co-founder of the AI Avengers and AI Revolution communities, where I mentor professionals in data labeling, annotation best practices, and AI training methodologies. Experienced across NLP, conversational AI, compliance document classification, and business process automation.

Labeling Experience

Co-Founder – AI Revolution Community (AI training data educator)

TextPrompt Response Writing SFT

I organized and delivered workshops on prompt writing, LLM fine-tuning, and evaluation for business AI adoption. I created educational content illustrating step-by-step AI training label workflows. The sessions spanned prompt generation, instruction following, and LLM assessment annotation. • Facilitated prompt quality evaluation exercises • Guided document and regulatory task labeling • Provided feedback and demonstrations for SFT tasks • Used OpenAI and Internal/Proprietary Tooling in instruction-based projects

I organized and delivered workshops on prompt writing, LLM fine-tuning, and evaluation for business AI adoption. I created educational content illustrating step-by-step AI training label workflows. The sessions spanned prompt generation, instruction following, and LLM assessment annotation. • Facilitated prompt quality evaluation exercises • Guided document and regulatory task labeling • Provided feedback and demonstrations for SFT tasks • Used OpenAI and Internal/Proprietary Tooling in instruction-based projects

2023 - Present

Co-Founder – AI Avengers Community (AI labeling mentor and evaluator)

ArgillaText

I coordinated and mentored community-driven AI training programs with a primary focus on data labeling and prompt engineering. I facilitated knowledge sharing and practical workshops guiding members through hands-on annotation and LLM evaluation. Activities included preference ranking, model feedback, and instruction execution assessments. • Managed LLM evaluation and side-by-side model comparison sessions • Supervised prompt quality assessment tasks • Promoted RLHF methodologies and best practices • Utilized Argilla and OpenAI tools for interactive training exercises

I coordinated and mentored community-driven AI training programs with a primary focus on data labeling and prompt engineering. I facilitated knowledge sharing and practical workshops guiding members through hands-on annotation and LLM evaluation. Activities included preference ranking, model feedback, and instruction execution assessments. • Managed LLM evaluation and side-by-side model comparison sessions • Supervised prompt quality assessment tasks • Promoted RLHF methodologies and best practices • Utilized Argilla and OpenAI tools for interactive training exercises

2023 - Present

Founder & CEO – 247AIWORKFORCE (AI data labeling and RLHF pipeline leader)

Label StudioTextRLHF

I led end-to-end AI training data projects including data collection, annotation, and quality review. My work focused on conversational AI, compliance, and business document annotation, ensuring high quality and domain relevance. Labeling included reinforcement learning from human feedback, text evaluation, and instruction following assessments. • Responsible for prompt engineering and LLM training data pipelines • Supported compliance and regulatory annotation for financial clients • Deployed preference labeling and model comparison workflows • Used Label Studio and Argilla for annotation tasks

I led end-to-end AI training data projects including data collection, annotation, and quality review. My work focused on conversational AI, compliance, and business document annotation, ensuring high quality and domain relevance. Labeling included reinforcement learning from human feedback, text evaluation, and instruction following assessments. • Responsible for prompt engineering and LLM training data pipelines • Supported compliance and regulatory annotation for financial clients • Deployed preference labeling and model comparison workflows • Used Label Studio and Argilla for annotation tasks

2023 - Present

Education

Work History