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Text
Video
Image
Classification
Bounding Box
Entity (NER) Classification
RLHF
Evaluation/Rating
Transcription
Fine-tuning
Object DetectionAdvanced AI Data Trainer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of South Africa (2024). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Classification.
Annotated images with precise bounding boxes to train computer vision models, ensuring high-quality datasets for object detection and recognition tasks.
As an AI Data Annotator at RWS, I conducted media annotation and labeling for multimodal LLM training. I ensured high-quality and accurate datasets for AI model improvement. My efforts focused on meeting stringent accuracy standards and collaborating with cross-functional teams. • Labeled and classified video and multimedia content for machine learning. • Reviewed and verified annotations for consistency and quality. • Coordinated with team members to meet tight project deadlines. • Supported creative problem-solving to resolve annotation challenges.
As an Advanced AI Data Trainer, I evaluated and rated AI prompts and responses for large language models. My work ensured quality, safety, and relevance of AI outputs. • Employed human-in-the-loop strategies to enhance model performance.
Applied reinforcement learning from human feedback (RLHF) to fine-tune large language models, improving alignment with human preferences and enhancing output quality, safety, and relevance.
Designed and refined short-form video captions to enhance multimodal AI capabilities.
Bachelor of Science, Mathematics and Physics
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