Delivery Data Scientist (New Grad)

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The successful candidate will play a critical role in the development and training of large language models (LLMs) focused on code understanding and multimodal data processing. This position is ideal for someone with a strong analytical thinking, critical reasoning and strong skills with an interest in advancing AI technologies.

Key Responsibilities:

• Data Annotation:
  • 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.
• Quality Assurance:
  • Perform quality checks on annotated data to ensure high standards are met.
  • Provide feedback on annotation tools and processes to improve efficiency and accuracy.
• Tooling and Process Improvement:
  • 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.
• Collaboration:
  • 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.

Required Qualifications:

• Technical Skills:
  • 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.
• Analytical Skills:
  • 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.
• Communication Skills:
  • 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.

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

Location: Remote

Type: Full-time

Compensation: Competitive salary, benefits package, and opportunities for professional growth.