Samwel Isaboke

Key Skills

Software

OneForma

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Medical Dicom

Text

Video

Top Label Types

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Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Geocoding

Polygon

Polyline

Prompt Response Writing SFT

Text Generation

Transcription

Freelancer Overview

I am a detail-oriented AI Trainer and Evaluation Analyst with over 10 years of multidisciplinary experience, specializing in data annotation, labeling, and the rigorous evaluation of AI systems. My background spans social sciences, technology, and research, allowing me to bring a strong human-centered perspective to AI training and data curation. I have hands-on expertise in annotating and validating large volumes of text and conversational data for supervised and reinforcement learning, ensuring high accuracy, consistency, and alignment with guidelines. My work includes prompt engineering, model benchmarking, error analysis, and comprehensive quality audits across diverse domains, with proficiency in Python, HTML, and AI development platforms. I thrive in fast-paced, collaborative environments focused on responsible AI and impact-driven innovation. My experience includes designing and refining prompts to test large language models, identifying model weaknesses, and providing actionable feedback to enhance AI performance. I am skilled at translating complex AI behaviors into clear insights, maintaining strong inter-annotator agreement, and supporting continuous improvements in data pipelines. My technical skills are complemented by advanced communication, analytical reasoning, and a passion for leveraging AI to create equitable solutions to real-world challenges.

Labeling Experience

Quality Analyst - Revive Initiatives

OtherTextClassificationText Generation

As a Quality Analyst, I labeled, validated, and curated large volumes of text and conversational data for supervised and reinforcement learning. I applied detailed annotation guidelines to maintain inter-annotator agreement and performed quality audits on both AI-generated outputs and human annotations. I identified labeling inconsistencies, edge cases, and data gaps to refine standards and workflows. • Audited data annotation for accuracy and consistency • Adhered to annotation guidelines and dataset integrity • Collaborated to improve data quality and workflows • Supported the improvement of AI model training and evaluation pipelines

As a Quality Analyst, I labeled, validated, and curated large volumes of text and conversational data for supervised and reinforcement learning. I applied detailed annotation guidelines to maintain inter-annotator agreement and performed quality audits on both AI-generated outputs and human annotations. I identified labeling inconsistencies, edge cases, and data gaps to refine standards and workflows. • Audited data annotation for accuracy and consistency • Adhered to annotation guidelines and dataset integrity • Collaborated to improve data quality and workflows • Supported the improvement of AI model training and evaluation pipelines

2025

AI Trainer / AI Evaluation Analyst (Freelance – Outlier - NeevoAI)

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As an AI Trainer and AI Evaluation Analyst, I evaluated AI agents and large language models for accuracy, coherence, safety, and alignment with user intent. I designed and refined prompts, conducted rigorous testing of models, and annotated and reviewed training data across diverse domains. I identified systematic model weaknesses and provided actionable feedback to improve AI system performance. • Designed and tested prompts for large language models • Annotated training data to enhance response quality • Identified recurring model failure patterns and inconsistencies • Ensured outputs met quality, consistency, and policy standards

As an AI Trainer and AI Evaluation Analyst, I evaluated AI agents and large language models for accuracy, coherence, safety, and alignment with user intent. I designed and refined prompts, conducted rigorous testing of models, and annotated and reviewed training data across diverse domains. I identified systematic model weaknesses and provided actionable feedback to improve AI system performance. • Designed and tested prompts for large language models • Annotated training data to enhance response quality • Identified recurring model failure patterns and inconsistencies • Ensured outputs met quality, consistency, and policy standards

2025

Education

Work History