We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.
Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.
We are looking for a detail-oriented self-starter to work as a Data Labeling Manager. You’ll review and label large bodies of data while ensuring the quality of data sets and providing insights that improve process efficiency. We’re looking for someone passionate about the company's mission to develop safe, reliable algorithmic solutions for autonomous navigation — guiding technologies from robots to vehicles. You have meticulous attention to detail, a strong work ethic, a high level of focus, technical aptitude, and excellent communication skills.
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Assignment Length: Contract-to-hire
Pay Range: $25 - $30 per hour
Location: Remote
Helm.ai is proud to be an equal-opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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