Associate Analyst, Data Annotation

About Fubo:

FuboTV Inc. (NYSE: FUBO) aims to transcend the industry's current TV model by building the world's leading sports-first live TV streaming platform with the greatest breadth of premium content and interactivity around the globe.

With an international presence in the U.S., Canada, France and Spain, Fubo also has a vibrant technology center in Bangalore, India that is developing strategic features to enable a robust global platform.

We're a dynamic, fast-paced, rapidly evolving company! Which means we need your help taking us to the next level.

Fubo is committed to excellence through diversity, which involves attracting talented people from diverse backgrounds and traditions. We encourage everyone to apply.

About the Role:

*This position is an onsite role in our Mysore office. Candidates must be located in Mysore, and willing to come into the office Monday through Friday.*

Fubo is looking for an exceptional Associate Analyst, Data Annotation with a passion for crafting simple systems that solve complex problems.

We are looking for Data Annotation Associates who are HIGHLY motivated to have product input, participate in product discovery and ideation sessions, and more than anything else, have an innate curiosity for everything that makes a great tech product customers love.

Fubo Data Annotation Analysts have the following responsibilities:

The Data Annotator will support the Research and Development Team in improving the accuracy and quality of our deep learning models to achieve excellent performance in projects and competitions by using in-house tools to accurately annotate and label data. It's the job of data annotation analysts to understand what type of labeled data their machine-learning model requires.

All Fubo Data Annotation Analysts must:

• Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest of images
• Support researchers in training deep learning models through accurately categorizing content, labeling images and annotating data
• Report and document issues faced from data annotation to Research team and discuss solutions to improve data
• Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models
• Contribute to workflow process improvements
• Have strong communication skills and be a positive team player with a solution-oriented mindset.

The ideal candidate will also:

• Stay informed of emerging technological trends and methodologies and propose new processes and technologies to the team
• Enjoy working in a fast-moving startup environment in which individual contributors are trusted and depended upon to set technical direction
• Believe that work-life balance is a characteristic of highly functioning engineering teams
• Enjoy learning new things and sharing knowledge with coworkers
• Take the initiative in identifying and removing roadblocks
• Be a pleasure to work with in a professional environment
• Be comfortable giving and receiving honest feedback
• Be unafraid of failure
• Enjoy disrupting the status quo

Job Requirements:

• Preferably with basic computer literacy experience
• Comfortable with handling large data sets on a regular basis
• Ability to work on repetitive tasks efficiently and effectively with minimal errors
• Excellent communication, analytical and with good reasoning skills
• Possess high motivation with the desire to learn
• Proactive attitude