Olof Fyr is a Product Manager at Kognic, specializing in annotation efficiency and automation for ADAS and autonomous driving. With a Master’s in Physics focusing on Complex Adaptive Systems, he started as a machine learning engineer working on problems like speech recognition, computer vision, and SLAM. For the past five years, he has focused on optimizing data annotation, bridging automation and human performance to improve AI training and validation.
The Pop in Your Job – What drives you? Why do you love your job?
What excites me most about my work is shaping the future of AI. The combination of technical depth (machine learning, automation, and data pipelines) and the human side (psychology, training, and behavior design) creates a uniquely complex and rewarding problem space. I love tackling challenges that blend these dimensions, driving innovations that make AI development more efficient and scalable. By improving how data is sourced and labeled, I get to contribute directly to the advancement of autonomous systems.
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