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Appen
Clickworker
TelusNo subject matter listed
Audio
Image
Text
Emotion Recognition
Evaluation/Rating
Fine-tuning
Prompt + Response Writing (SFT)
RLHFI have contributed to the development of large language models at Invisible Technologies, including prompt creation, response assessment and rating, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), supervised fine-tuning (SFT), and crafting ideal responses. I have also worked on voice training projects for RWS, involving Turing tests, human-likeness evaluation, audio quality assessment, and voice archetype analysis. At Telus International, I moderate harmful and misleading video and image content, provide recommendations for improving data training processes, and support team management activities.
Evaluate AI-generated voice outputs for accuracy, tone, fluency, and naturalness, including assessments of human-likeness, Turing Test performance, and audio quality.
Experienced in diverse annotation types, including image segmentation, video keyframe annotation, text extraction from images, and video content summarization.
Conduct research and task evaluation in a web-based environment, verifying and comparing data to ensure relevance and accuracy. Provide feedback and analysis on search engine results by assessing the relevance and usefulness of web pages. Perform quality assessments of audio and image outputs, and moderate deceptive or harmful content.
Understand AI project requirements and follow predefined guidelines, including data annotation, prompt and preamble creation, reinforcement learning from human feedback (RLHF), and response editing. Ensure quality and consistency while effectively managing ambiguity and uncertainty. Conduct multilingual quality assurance assessments, including Portuguese.
Comptabilité Bureautique, Comptabilité Bureautique
Masters, Business Administration
Online Assessment Scorer
Business Owner / Club Director
