Makira Rabbo

I’m an AI training expert with 3 years of experience in data annotation and legal analysis, focused on enhancing AI model outputs through Reinforcement Learning from Human Feedback (RLHF). I consistently deliver high-accuracy results by evaluating AI-generated text and images against detailed instructions and quality standards.

In my AI training work, I provide human feedback that refines large language model outputs, using legal reasoning to assess complex written content. I manage multiple simultaneous assignments while maintaining accuracy and meeting project deadlines.

I also strengthen computer vision datasets through image segmentation, bounding box annotation, and object classification, supporting global AI clients with strict dataset integrity and quality control workflows. Alongside annotation, I’ve handled structured data capture, transcription, and data integrity checks for machine learning pipelines.

Before fully focusing on AI training, I built a strong legal foundation as a Legal Officer and Legal Intern, drafting and reviewing legal instruments and conducting in-depth land law research. This background helps me bring clear, structured argumentation and reliable regulatory document review into every training task I take on.