Kikelo Tony

Detail-oriented AI Trainer expert, evaluator and Computer Science graduate with hands-on experience supporting the training, evaluation, and refinement of large language models (LLMs). Skilled in writing and reviewing high-quality prompts and responses, evaluating AI outputs for accuracy, tone, safety, and guideline compliance, and identifying model weaknesses through adversarial testing. Strong analytical thinking, excellent written English, and a proven ability to work independently in remote, deadline-driven environments.

Generalist AI Trainer at Independent / AI Training Platforms (2023-07 – Present)

Contract

• Created, edited, and refined high-quality prompts and responses across general knowledge, technology, and real-world reasoning tasks.
• Evaluated and ranked AI-generated outputs based on correctness, clarity, tone, safety, and instruction adherence, providing detailed written feedback.
• Acted as an adversarial user to expose hallucinations, logical gaps, bias risks, and unsafe outputs.
• Conducted thorough fact-checking and research to ensure factual accuracy of training data.
• Consistently applied complex project guidelines while meeting strict quality thresholds and deadlines in a remote environment.

AI Data Annotator / Content Reviewer at AI Data Labeling Projects (2022-01 – 2023-06)

Contract

• Annotated and reviewed text datasets used to train conversational and instructional AI systems.
• Labeled AI responses for relevance, fluency, reasoning quality, and policy compliance.
• Flagged ambiguous, misleading, or unsafe outputs according to annotation standards.
• Maintained high accuracy scores through careful self-review and adherence to project guidelines.

Bachelor of Science in Computer Science – Kenyatta University (2019 – 2023)