Odunayo Kazeem

Detail-oriented Data Annotation Specialist with experience contributing to AI training and evaluation projects across multiple platforms including Atlas, Outlier, and Stellar. Skilled in analyzing complex prompts, evaluating model outputs, and producing high-quality annotations that improve machine learning systems. Strong written English communication skills, excellent attention to detail, and a proven ability to follow complex guidelines while maintaining accuracy and consistency in remote work environments.

AI Data Annotator - Atlas capture - Remote

(2025-01)

• Annotate and review datasets used for training and evaluating large language models.
• Perform complex reasoning-based tasks including response evaluation and error identification.
• Maintain high accuracy while working under strict project guidelines.
• Provide clear written explanations supporting evaluation decisions.
• Contribute to quality assurance processes to improve training data reliability.

AI Data Contributor / Model Evaluator - Outlier - Remote

(2024-01)

• Evaluate AI-generated responses for correctness, safety, and relevance.
• Perform prompt analysis and provide structured feedback to improve model performance.
• Follow detailed annotation guidelines to ensure consistent dataset quality.
• Identify inaccuracies, hallucinations, and logical inconsistencies in AI outputs.

AI Training Data Contributor - Stellar AI - Remote

(2025-01)

• Assist in labeling and reviewing training datasets for machine learning models.
• Apply strict annotation standards while working with text and multimodal data tasks.
• Conduct research and verification to ensure factual accuracy in annotated data.
• Collaborate within distributed remote teams to maintain dataset quality.

Bachelor of Science - English - UNIVERSITY OF LAGOS (2019-01 - 2025-01)