Data Annotator

Description:

This role directly powers a critical live customer-facing product safety product, which forms the foundation for multiple other safety features. You would be the expert at risk identification, for all our customers using our safety products.

You would also work closely with the Research & Development teams, to power our in-house Machine Learning and Artificial Intelligence models, by generating high quality training datasets. This requires an understanding of data requirements, data definitions, edge-cases, tooling and review processes.

In addition to that, you would also work closely with the Product team to run proof of concepts and experiments, which guide the direction of our Safety product suite, particularly in the areas of risk identification, mitigation, and reduction. You would also contribute toward analyzing data to improve the user experience for our customers.

What You’ll Do
 

• Review and analyze live videos captured by Motive’s dashcam for risk identification, based on the known risk factors combined with the contextual knowledge which would vary from case to case.
• Adhere to the established guidelines and protocols for annotation to ensure consistency and reliability of data.
• Ensure timely delivery of accurate data as per SLAs.
• Consistently strive to enhance the annotation procedures and play a role in shaping the team's best practices through active participation.
• Exhibit flexibility and adaptability in taking on new responsibilities beyond the scope of the defined job description, showcasing a proactive and versatile approach to work.
• While remote work offers flexibility, it also requires a high level of self-discipline, time management, and communication skills to maintain productivity and collaboration in a distributed team environment.
   

What We’re Looking For
 

• Bachelors in Computer Science, IT, Management, or related field.
• 0-2 years of experience
• Detail oriented and organized, with a growth mindset.
• Thinks, designs and executes keeping customers at the center of the solution.
• Interested in learning about the annotation landscape and application of AI/ML in the trucking industry
• Ability to work collaboratively, in a 24/7/365 set up, with strong coordination across the team.
• Good communication skills, oral and written.
• Ability to work on multiple projects and tools, and switch context in between them.