Brian Simiyu

Innovative AI Specialist with 4+ years of experience enhancing AI models and a proven ability to integrate AI tools strategically into business operations. Adept at identifying efficiency opportunities, evaluating and implementing platforms like ChatGPT and Zapier, and developing scalable workflows for recruitment, content creation, and process automation. Combines technical expertise in data annotation and prompt design with strong communication skills to train teams and drive organization-wide AI adoption to meet business goals.

AI Trainer & Narrative Annotation Specialist at OpenAI (2021-01 – Present)

Partner Contractor role focused on evaluating and improving AI-generated dialogues

• Strategic Model Evaluation: Evaluated AI-generated dialogues for coherence and creativity using advanced rubrics, directly contributing to the improvement of public-facing generative AI models.
• Process Design & Quality Systems: Performed systematic quality checks and audits to maintain high data accuracy and strict guideline adherence, ensuring reliable model outputs.
• Complex Problem-Solving: Annotated and structured complex narrative data, including multi-turn conversations and branching storylines, enhancing model reasoning and long-context understanding.

Creative Content & Dialogue Writer at Freelance (2020-01 – Present)

Freelance creative writing role leveraging AI tools for content development

• AI-Augmented Content Development: Crafted interactive scripts and character arcs, leveraging AI tools for ideation and draft generation to increase creative output and efficiency.
• Workflow Innovation: Researched and integrated new AI content tools (e.g., Copy.ai, Claude) into the writing process, establishing best practices for prompt design to achieve desired tone and structure.

Data Annotation & Quality Auditor at UC Berkeley Linguistics Lab (2020-01 – 2021-12)

Data annotation and quality assurance role for NLP model training

• Foundational Data Expertise: Annotated 5,000+ sentences for syntactic and semantic structure, building a rigorous foundation for training and validating NLP models.
• Data Pipeline Contribution: Cleaned and validated large-scale datasets for academic research, developing a keen eye for data quality and consistency essential for effective AI training.

Bachelor of Science in Software Engineering – University of California, Berkeley (2018-01 – 2021-12)