Lawal Abiodun

Detail-oriented and reliable professional with experience in data annotation, content review, and AI model training. Adept at understanding guidelines, delivering high-quality work, and contributing to the development of accurate and ethical AI systems. Passionate about technology and committed to continuous learning.

Data Annotator at Hugo Technologies (2024-07 – Present)

• Analyze and label large-scale datasets to train and refine Large Language Models (LLMs).
• Perform high-quality Reinforcement Learning from Human Feedback (RLHF) to improve model reasoning and conversational flow.
• Evaluate model responses for accuracy, safety, and adherence to specific project guidelines.
• Identify and report edge cases or ambiguities in data to ensure training integrity.

Data Annotator / AI Trainer at Outlier (2024-01 – Present)

• Annotated and labeled data for NLP and Computer Vision projects according to detailed guidelines.
• Reviewed and evaluated AI-generated responses for accuracy, relevance, and quality.
• Provided feedback to improve model performance and reduce bias.
• Maintained high productivity while ensuring consistency and attention to detail.

Data Annotator at Remotasks (2023-06 – 2023-12)

• Labeled images, text, and audio data for machine learning models.
• Identified and flagged content that did not meet quality standards.
• Followed annotation guidelines and quality requirements.
• Achieved consistent accuracy and met project deadlines.

Research Assistant at University of Lagos (2022-01 – 2023-05)

• Conducted research and data collection for academic projects.
• Organized and analyzed data using Excel and statistical tools.
• Prepared reports and summaries for presentation and publication.

B.Sc. in Computer Science