Sena
data science analyst, Tecnico en ciencia de datos
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
Detail-oriented data annotation specialist with experience supporting AI and Machine Learning projects across multiple domains. Skilled in labeling text, images, audio, and video using standardized guidelines. Proficient in ensuring high-quality, consistent datasets for model training, with strong understanding of annotation methodologies and QA processes. Core Skills: 1. Text labeling: classification, sentiment analysis, NER, prompt evaluation, instruction generation. 2. Image labeling: bounding boxes, segmentation, object classification, scene annotation. 3. Audio labeling: transcription, diarization, intent classification, sound event tagging. 4. Video labeling: object tracking, temporal segmentation, action annotation. 5. Quality assurance & guideline refinement. 6. Tools: Label Studio, Scale/Nucleus, Appen, Toloka, SageMaker Ground Truth, CVAT, Prodigy, etc. 7. Basic understanding of ML and data preprocessing workflows. Experience Highlights: 1. Contributed to training datasets for NLP, computer vision, and multimodal models. 2. Labeled high-volume datasets with accuracy and consistency. 3. Collaborated with ML teams to improve annotation guidelines and data quality. 4. Identified data issues and discrepancies, improving dataset reliability.
Santiago H. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
data science analyst, Tecnico en ciencia de datos
Certificate, Human Development
AI Trainer