Data Annotation Specialist

Posted 2 Days Ago
Hiring Remotely in USA
Remote
Mid level
Greentech • Transportation
The Role
The Data Annotation Specialist will be responsible for annotating and labeling image and video data, ensuring quality in data annotation, reviewing machine learning model results, and fostering communication with annotation vendors and team members.
Summary Generated by Built In

Who we are:

Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.

Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.

The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.

With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.

Meet the team:

You'll join a team that is responsible for developing software for machine learning perception systems, to help Glydcars to see. The team is composed of team members with strong backgrounds in various algorithm development fields and programming skills. 

Roles & Responsibilities:

  • Work closely with teammates to ensure quality in Data annotation (e.g. Bounding Cuboids)
  • Annotate and label image and video data via computer using various internal software programs
  • Attach metadata (comments, markups, etc.) to data in accordance with established procedures
  • Review Machine Learning Model results with a visualizer to verify the Engineers’ observations
  • Foster communication with annotation vendors and teammates regarding Data annotation operations, and provide constructive feedback to vendors to improve the annotation process

Knowledge, Skills and Abilities:

  • Excellent communication and interpersonal skills
  • Strong Problem-Solving Skills
  • High School diploma/ GED or equivalent work experience
  • 3 years of experience in Data Operations supporting Machine Learning Algorithms;
  • Motivation to work independently with minimal supervision

Glydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Top Skills

Data Annotation
Image Processing
Machine Learning
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The Company
HQ: San Francisco, California
86 Employees
On-site Workplace
Year Founded: 2016

What We Do

Glydways, Inc. is an American transportation technology and clean energy company based in South San Francisco, CA. The company specializes in the design, manufacture, installation and operation of affordable autonomous transportation for low, medium and extremely high capacity needs.

Founded in 2016 by engineer and entrepreneur Mark Seeger, the company was started with the goal of providing affordable mobility for communities across the world. This goal is founded in the belief that access to affordable housing, employment, education and care lead to economic and social prosperity, and the key to this equity is mobility for as many people as possible.

Lead by Gokul Hemmady who serves as CEO, the company’s core objectives are to provide a 24/7 mobility service solution that is environmentally net-negative in terms of greenhouse gas production (GHG), and, inherently profitable. GHG-negative is achieved through the invention and use of power-efficient technologies to reduce the watt-hours-per-person-per-unit-distance traveled, and, photovoltaics embedded into the infrastructure. Economic sustainability is achieved by designing for operational costs that are inherently lower than revenue collected when selling a ride. The key comes from decoupling the unit-costs from the utilization of the system, something that is not possible with existing public/mass transportation systems. By being financially sustainable, Glydways relieves municipalities of the vast annual subsidies required to operate existing solutions, which are inherently unprofitable and thereby a fiscal burden to public budgets. Further, the Glydways business model allows for private capitalization of entire systems.

Glydways provides the highest capacity, at the lowest cost, with the best user experience, and the lowest greenhouse gas footprint of any mobility solution, providing a personal, on-demand, and point-to-point journey with no stops between origin and destination

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