Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
TextI am an undergraduate researcher in Computer Science with hands-on experience in data annotation and AI training data, particularly within audio, music, and multimodal domains. My work spans designing and implementing pipelines for vocal source separation, where I have curated hard-case datasets, developed annotation guidelines, and conducted pilot annotations with inter-rater reliability analysis for DJ-oriented music data. I am skilled in Python, PyTorch, and tools like librosa and torchaudio, and have applied these in both research and collaborative industry projects. My background also includes experience with computer vision and NLP projects, such as building sentiment analysis services and reconstructing 3D assets from video. I am passionate about ensuring high-quality, well-structured training data for deep learning applications, and thrive in roles that bridge technical implementation with careful data curation and labeling.
It is prohibited to mentioning actual task by this Outlier AI platform's rule but it can be described as data labeling and rating about text.
Bachelor of Science, Computer Science
Undergraduate Researcher
Research Intern
