Translation and native language refining
Localization of complex user-generated questions.
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I am an experienced data labeling and AI training data specialist with a strong background in freelance AI tasking, QA, and content review across platforms such as Outlier, Invisible, and Micro1. My expertise spans data annotation, RLHF, vision project evaluation, and chain-of-thought (CoT) assessment, ensuring high-quality datasets for machine learning models. I am proficient in data entry, multilingual environments, and have a solid understanding of productivity and CRM tools. My fluency in Italian, Greek, English, and French, combined with strong writing and problem-solving skills, allows me to contribute effectively to diverse and international AI projects.
Localization of complex user-generated questions.
Contributed to data labeling projects including text classification and annotation for AI model training. Labeled and categorized diverse text data according to project guidelines to train and enhance natural language models. Ensured high standards of consistency and precision throughout annotation tasks. • Classified and annotated text samples for natural language processing tasks. • Participated in quality control and review cycles. • Utilized platform guidelines for consistent annotation approach. • Delivered work under tight project timelines.
This project involved Reinforcement Learning from Human Feedback (RLHF) for fine-tuning advanced language models. Tasks included evaluating and ranking AI model outputs to improve response quality for various instructions and queries. The project required careful adherence to instructions and consistent application of complex rubrics. • Fine-tuned large language models using structured feedback. • Conducted quality control of AI responses over multiple sessions. • Applied detailed rubrics to ensure high-quality output. • Worked as part of a distributed remote team.
Performed OCR and audio annotation projects focused on document digitization and classification of audio data inputs. Extracted and validated text content from scanned documents and annotated audio clips according to project specifications. Used detailed checklists to ensure completeness and correctness of labeled data. • Extracted text from scanned documents using OCR techniques. • Annotated and classified audio clips for voice-related tasks. • Conducted quality checks on digitized content. • Worked independently on high-volume annotation batches.
Developed rubrics and constructed chain-of-thought (CoT) prompts for AI model evaluation and training. Designed and implemented structured feedback mechanisms to support safe and effective AI reasoning. Ensured clarity and fairness in rubric criteria and supervised sample prompt generation for supervised fine-tuning. • Authored evaluation rubrics for complex AI tasks. • Designed chain-of-thought prompts for model training. • Collaborated with AI engineers to refine evaluation processes. • Assessed model responses for alignment with rubric requirements.
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