Lead City University
Bachelor of Science, Computer Science
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AI trainer with hands-on experience supporting data annotation, content review, and AI response evaluation tasks across text-based and conversational datasets. Familiar with labeling workflows involving intent classification, sentiment analysis, entity tagging, prompt-response evaluation, and quality assurance processes. Comfortable working with structured guidelines, maintaining annotation consistency, and identifying edge cases to improve model performance. Strong attention to detail, analytical thinking, and ability to quickly adapt to evolving project requirements and annotation standards. Background includes experience working with technical systems, cloud platforms, and documentation workflows, which supports a strong understanding of how AI systems are trained, tested, and optimized. Skilled in communication, problem-solving, and delivering high-quality outputs under deadlines. Brings a combination of technical curiosity, fast learning ability, and process discipline that makes collaboration with AI operations teams efficient and reliable.
Bachelor of Science, Computer Science
DevOps Engineer
DevOps Engineer