Covenant University
Bachelor of Engineering, Computer Engineering
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Experienced AI Data Trainer and Software Engineer with 2+ years specializing in technical data annotation, code labeling, and benchmark task creation across multiple platforms including AfterQuery, Mindrift, and Outlier AI. Expert in high-quality data labeling for programming tasks (Python, Bash, JavaScript) and visual data annotation for computer vision applications. Consistently maintain 95%+ accuracy rates across diverse annotation projects while meeting tight deadlines. My unique strength lies in combining deep technical knowledge with meticulous attention to detail. I create sophisticated Terminal-Bench tasks for LLM training that require specialist knowledge in Linux systems, kernel operations, and filesystem management. I excel at multi-domain annotation from code evaluation and debugging tasks to image labeling for AI models. My software engineering background enables me to understand complex technical requirements and deliver precise, high-quality labeled data that directly improves model performance. Key qualifications include a First Class Honors degree in Computer Engineering (awarded Best Final Year Project), advanced proficiency in Bash/Linux/Python, Docker containerization, and experience building deterministic test suites. I have successfully contributed to AI training datasets across multiple technical domains, participated in human-in-the-loop workflows, and implemented quality assurance processes ensuring data integrity.
Oluwaseyifunmi W. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Engineering, Computer Engineering
N/A, Data Engineering
AI Data Trainer/Technical Annotator
Software Engineer/LLM Trainer