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CrowdSource
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VideoI am a very experienced AI data specialist with a very strong background in English, English language comprehension, reading, writing, and communication. Over the time that I have spent working on AI training tasks, I have gained experience and contributed greatly to text annonation, analysis, writing evaluation, and summarisation, ensuring that I provide high quality data for LLM's. What sets me apart is my ability and expertise to accurately and consistently handle complex text-based tasks which require experience across various writing styles and grammar mastery. I consider myself somewhat of a generalist who has hands on experience with multimodal AI projects, this versatility enables me to support and contribute to a diverse range of AI training fields and adapt to new tasks whilst maintaining the highest standard of quality.
Contributed to audio-based AI training projects for LLMs. Tasks included recording audio datasets, fine-tuning audio inputs for model training, and evaluating outputs for quality, clarity, and accuracy.
Worked on text-based AI training projects for LLMs. Responsibilities included generating and reviewing prompts with corresponding AI responses, performing text summarisation and question answering tasks, and evaluating outputs for accuracy, relevance, and quality.
Worked on diverse AI training projects involving video data for LLMs. Tasks included annotating video content using bounding boxes, performing emotion recognition, and evaluating AI outputs for quality and accuracy. Additionally, simulated conversations with corresponding AI responses to improve model comprehension and performance. Maintained high-quality standards ensuring reliable datasets for AI model training and evaluation.
Worked on AI training projects as a generalist contributing to a variety of tasks across text, image, video, and conversational data. Tasks included: annotating text for grammar, style, and comprehension; labeling images and videos for color, pattern, and object recognition for conversational AI models. Projects varied in size both small-scale focused datasets and large-scale multimodal datasets, requiring careful attention to detail and consistency. Strict quality measures were followed, including multiple rounds of review and QA feedback.
National Certificate of Educational Achievement (Level 3), General Education
General Certificate of Education (Advanced Level), General Education
Resident Advisor
Clinical Shadow
