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Jordan Speight

he/him
Data Coder

As a data coder, I contribute to the development of machine learning models by providing high-quality labelled data and rigorously evaluating model performance to ensure accurate and reliable results. I help address any challenges that arise during the labelling process and support the continuous improvement of our models.

Experience

  • Data labelling: Annotating a wide variety of datasets—such as images, text, audio, and video—to ensure that machine learning models receive high-quality input data that is essential for their effective training and performance.
  • Performance metrics: Designing tools to effectively visualise, measure, and interpret machine learning model performance, offering insights that guide adjustments and improvements.

My Promise
“To perform precise data labelling and model assessments, ensuring robust and reliable machine learning outcomes.”