Olexandr Smutnyak

I am a results-driven AI Data Specialist with over 2 years of experience in high-complexity data annotation and AI training. My career is defined by a transition from traditional labeling to specialized Multimodal AI alignment, with a focus on 3D environments and human behavior analysis.

Professional Achievements:

• Tier-1 Project Experience: Successfully contributed to large-scale AI training for Snap and Label Your Data, specializing in 3D Body Node Segmentation (BNS) and Human Pose Estimation.

• Exceptional Quality & Speed: Consistently maintained 99%+ accuracy in semantic labeling and polygonal segmentation, while delivering outputs up to 3x faster than average benchmarks.

• Complex Data Reasoning: Mastered technical taxonomies and strict guidelines (including ADA standards), effectively bridging the gap between raw visual data and structured textual metadata.

Interests & Goals: I am deeply interested in the evolution of Reinforcement Learning from Human Feedback (RLHF) and the development of Multimodal models that can reason about the physical world. My academic background in English Language and Literature allows me to provide high-quality linguistic reasoning and precise prompt evaluations.

I thrive in remote, fast-paced environments where precision and logical clarity are the top priorities.