Summary: Take overall charge of data annotation, generation, and management. Facilitate communication between the R&D engineers and the annotation team, and act as the central hub for all issues data related.
Responsibilities:
– Hands-on familiarity with the various data annotation tools.
– Managing annotation schedules, assigning tasks, and keeping track of progress.
– Providing the R&D team with an up-to-date picture of the database at all times.
– Conveying and aiding in implementing the various data related needs and requests by the R&D team.
– Developing, implementing, and applying data-analysis tools and methods.
– Devising and implementing new features and improvements in the annotation tools and data-management system.
Requirements:
– A bachelor’s degree in computer science or other quantitative field.
– Proficiency in Python programming.
– Experience using Unix shell scripting and command-line.
– Aptitude in basic mathematics and quantitative reasoning.
– Strong organizational and communication skills.
– Ability to handle multiple tasks and responsibilities.
Skills that are considered an advantage:
-Experience with Pandas, NumPy, and OpenCV.
– Practical knowledge of basic statistics and probability.
– Experience in managing large databases.
