Vici AI Inc. is focused on enhancing the performance of its machine learning models by leveraging high-quality training data. The goal of this project is to provide learners with an opportunity to apply their knowledge of data annotation techniques to real-world datasets. The project involves annotating a given dataset with relevant labels, tags, and categories to ensure accuracy and consistency. This will help improve the performance of Vici AI Inc.'s machine learning models by providing them with well-annotated training data. The tasks are closely related and can be completed by a team of learners specializing in data science or a related field. The project is designed to be completed within 100 hours.

Project Requirements:

• Annotate data with high accuracy and consistency
• Work with various data types, including text, images, and audio
• Utilize specialized annotation tools and software
• Meet productivity and quality standards
• Collaborate with team members to ensure consistency and quality control

Deliverables:

• Annotated data sets with high accuracy and consistency
• Completed annotation tasks within designated timelines
• Participation in quality control and assurance processes

Skills and Qualifications:

• Strong attention to detail and analytical skills
• Ability to work independently and collaboratively
• Advanced research skills
• Basic computer skills

Nice to Have:

• Experience with machine learning or artificial intelligence
• Knowledge of data annotation guidelines and best practices
• Familiarity with cloud-based platforms (e.g., AWS, Google Cloud)