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OneForma
Scale AI
Audio
Text
Video
Image
Audio Recording
Classification
Data Collection
Evaluation/Rating
Translation/Localization
Bounding Box
Transcription
Prompt + Response Writing (SFT)
Action RecognitionFreelance AI Evaluation & AI Training Specialist (LLM Evaluation, Safety & Quality Assessment). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Google Lens (and similar tools). Education includes Bachelor of Hotel Management, Griffith University (2012). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).
OneFormaTextEvaluated LLM and AI model outputs for safety, fluency, accuracy, and instruction-following. Conducted preference ranking and feedback tasks for model response improvement. Evaluated grammar correction, smart reply, and personalized email generation within language models. • Rated and ranked LLM completions. • Proofread grammar correction outputs. • Assessed language model personalization. • Provided structured model performance feedback.
OneFormaAudioTranscriptionPerformed Korean speech transcription and inverse text normalization (ITN) for audio AI training datasets. Supported the creation of quality training data for speech recognition models. Contributed linguistic expertise for high-accuracy dataset production. • Labeled and cleaned speech data. • Normalized transcribed audio in Korean. • Supported speech model training pipelines. • Ensured dataset quality for AI use.
VideoAction RecognitionEvaluated AI video understanding capabilities including scene extraction and clip segmentation accuracy. Tested how well multimodal systems interpret video content to support downstream generation and understanding tasks. Used segmentation-oriented assessment to check consistency and correctness of extracted scenes and clips. • Scene extraction accuracy checks • Clip segmentation evaluation • Video understanding quality assessment • Multimodal evaluation for segmentation outputs
Scale AIImage
Entity (NER) Classification
SegmentationThis project involves AI/ML data annotation and analysis for images, videos, and audio. Tasks include object detection, segmentation, entity labeling, pattern extraction, and transcription, as well as generating prompts and questions from visual content. It also covers comparing model outputs, counting objects, and identifying similar media to support dataset quality and AI model training. The project helps create high-quality, structured datasets for computer vision and multimedia AI applications.
Scale AIAudioAudio RecordingTranscriptionHelp train an AI speech model to better understand and respond in natural, human-like conversations. Creating authentic and natural audio prompts in Korean.
Bachelor of Hotel Management, Hotel Management
AI Evaluation and Quality Assessment Specialist (Freelance)
Customer Service Representative
