AI Trainer Deep Learning / Neural Networks

Job Description: You will be responsible for evaluating AI-generated deep learning code for architecture, activations, loss, regularization, and training loops. Your main tasks will include assessing CNN, RNN, and Transformer implementations and annotating code for AI training datasets. Key Responsibilities: - Evaluate AI-generated deep learning code for architecture, activations, loss, regularization, and training loops - Assess CNN, RNN, and Transformer implementations - Annotate code for AI training datasets Qualifications Required: - Solid understanding of deep learning concepts and architectures - Proficiency in evaluating and annotating AI-generated code - Experience with CNN, RNN, and Transformer models would be advantageous Job Description: You will be responsible for evaluating AI-generated deep learning code for architecture, activations, loss, regularization, and training loops. Your main tasks will include assessing CNN, RNN, and Transformer implementations and annotating code for AI training datasets. Key Responsibilities: - Evaluate AI-generated deep learning code for architecture, activations, loss, regularization, and training loops - Assess CNN, RNN, and Transformer implementations - Annotate code for AI training datasets Qualifications Required: - Solid understanding of deep learning concepts and architectures - Proficiency in evaluating and annotating AI-generated code - Experience with CNN, RNN, and Transformer models would be advantageous