Andrew Muchiri
Results-driven AI Data Specialist with 3+ years of experience in data annotation, model evaluation, and reinforcement learning from human feedback (RLHF). Passionate about turning expert human judgment into high-quality reward signals for frontier AI models. Proven ability to deliver accurate, scalable training data for large language models and multimodal systems. Seeking to contribute to Pareto AI’s mission of building the verification layer for reinforcement learning on real-world expertise.
Experience
Senior AI Trainer & Evaluator
Various AI Companies
Remote
Contributed to RLHF projects for large language models, ranking thousands of model responses for coherence, safety, and helpfulness. Specialized in converting expert domain knowledge into structured reward signals. Achieved top 5% ranking among 2,000+ annotators on multiple platforms. Conducted red-teaming and adversarial testing to improve model robustness.
AI Data Annotator (Reinforcement Learning)
Remotasks / Outlier AI
Remote
Annotated and evaluated responses for reasoning, factual accuracy, and ethical alignment. Worked on complex tasks involving code generation, medical reasoning, and financial analysis. Consistently maintained 97–99% agreement with expert reviewers.
Content & Data Specialist
ABC Digital Solutions
Nairobi, Kenya
Led data collection and curation for AI training datasets. Developed annotation guidelines that improved team accuracy by 22%.
Education
Oxford university
Bachelor of Science
Skills
CERTIFICATIONS
Reinforcement Learning Specialization
Coursera (Andrew Ng)
Prompt Engineering for Developers
DeepLearning.AI
Data Labeling & Quality Assurance
Scale AI Academy
ADDITIONAL INFORMATION
Availability
Immediate / Full-time / Contract
Languages
English (Native), Swahili (Native)
Location
Fully remote (Kenya-based)
Interests
AI Safety, Human-AI Collaboration, Chess, Data Storytelling