This part-time position for AI Training Technical Collaboration focuses on enhancing the efficiency of AI training processes within the field of computer science and data science. The successful candidate will work remotely within the United States and will play a critical role in data annotation, quality assurance, and overall project management, contributing to the effective deployment of AI technologies.Key ResponsibilitiesConduct AI training and evaluation sessions to enhance model performance.Perform data annotation and ensure quality assurance of datasets used in training.Troubleshoot technical issues related to AI model training and data management.Manage project timelines and documentation to ensure deliverables are met.Collaborate with cross-functional teams to align on project objectives and requirements.Monitor and report on project success metrics to guide improvements.Assist in the development of best practices for AI training processes.Required and Preferred QualificationsBachelor's degree in Computer Science, Data Science, or a related field.Proven skills in AI training and evaluation.Experience with data annotation and quality assurance techniques.Technical troubleshooting skills for addressing AI-related issues.Project management experience in a relevant setting.Familiarity with relevant software tools used in AI training and data management.Years of experience in similar roles can vary, but demonstrated knowledge in the field is essential.The ideal candidate will possess strong collaboration skills with the ability to interact effectively with project stakeholders. The role may involve working alongside data scientists, software engineers, and project managers to ensure the accuracy and effectiveness of AI training processes.To apply, please submit your application in CazVid.Success in this role will be measured by the quality and reliability of AI models developed, team productivity, and adherence to project deadlines.