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Freelancer Overview
MALCOM MUNENE Texas, USA | [email protected] | LinkedIn PROFESSIONAL SUMMARY AI Evaluation Specialist with extensive experience in high-volume model training ecosystems, specializing in structured annotation, rubric-based scoring, and human-in-the-loop evaluation. Skilled at identifying hallucinations, logical inconsistencies, and safety risks in AI outputs. Proven track record of improving dataset quality for enhanced reasoning and alignment. Comfortable working remotely under evolving guidelines, focusing on relevance and usefulness assessments. CORE SKILLS • Model Evaluation & Quality Assurance: AI Model Evaluation, Benchmarking, Prompt Engineering Evaluation- , Human-in-the-Loop Training Systems & RLHF-style workflows, Hallucination Detection, Error Analysis, Safety & Policy Review, Response Ranking, Logic Validation • Data Annotation & Moderation: Structured Annotation, Rubric-Based Scoring, Data Labeling, Content Moderation, Linguistic Analysis • Software Engineering & Documentation: Python Backend Development (FastAPI), API Design, System Architecture, JSON Data Processing, Data Pipelines, Code Review, Technical Documentation Analysis • Collaboration & Project Management: Remote Work, Async Collaboration, High-Volume Task Execution PROFESSIONAL EXPERIENCE Atlas Capture 2025 - Present AI Data Annotation and Model Evaluation Specialist • Evaluate large volumes of AI-generated outputs using structured annotation frameworks aligned with advanced model training pipeline