Remote Delivery Data Scientist

Summary

Join our team as a highly motivated and detail-oriented Data Scientist to play a critical role in the development and training of large language models (LLMs) focused on code understanding and multimodal data processing.

Requirements

• Proficiency in one or more programming languages (e.g., Python, JavaScript) and a solid understanding of coding concepts
• Experience with data annotation tools and platforms
• Familiarity with machine learning concepts, especially in relation to training large language models
• Strong attention to detail and the ability to understand complex data structures
• Ability to identify patterns and inconsistencies in data to ensure high-quality annotations
• Excellent written and verbal communication skills, with the ability to clearly document processes and provide feedback
• Collaborative mindset with a willingness to learn and adapt to new challenges

Responsibilities

• Accurately label and annotate data related to coding tasks, such as identifying functions, variables, syntax, and code structure
• Annotate multimodal datasets that include text, images, video, and other data types, ensuring that annotations are precise and consistent
• Collaborate with AI researchers and engineers to refine annotation guidelines and develop new annotation strategies
• Perform quality checks on annotated data to ensure high standards are met
• Provide feedback on annotation tools and processes to improve efficiency and accuracy
• Assist in the development and testing of internal tools for data annotation
• Suggest and implement improvements to the annotation process to streamline workflows and enhance productivity
• Work closely with cross-functional teams, including AI researchers, software engineers, and product managers, to understand project requirements and deliver high-quality annotated datasets
• Participate in regular meetings to discuss progress, challenges, and areas for improvement

Preferred Qualifications

• Engineering or Bachelor’s degree in Science or equivalent
• Tier 1/2 colleges and universities
• Distinction or first class in Bachelor’s degree

Benefits

• Competitive salary
• Benefits package
• Opportunities for professional growth
• Flexible working hours
• Full-time remote opportunity