How Scale.ai built a 241-person contingent workforce with a 75.9% employee NPS score and $900,000 in savings/YoY using HireArt
Employee NPS Score
Headquartered in San Francisco, CA, Scale is a data platform for Artificial Intelligence, providing high quality training data for leading machine learning teams. Their advanced LiDAR, image, Video, and NLP annotation APIs allow machine learning teams at companies like OpenAI, Microsoft, and General Motors. Additionally, they have a large Federal business supporting the United States Air Force and United States Army.
Photo Credit: scale.ai
The rapid growth of Scale’s Federal business — and the nature of the work they do with the Department of Defense — resulted in a large team (200+) of contractors. While Scale initially engaged with Allegis Group expecting a blend of sourcing and employer of record support, Allegis struggled to source on their behalf and instead Scale handled all recruiting and employed their contractors through an Allegis subsidiary called Populus Group.
Populus Group lacked a strong technology solution, leading to inefficient operational processes that made growth of Scale’s contract workforce seem daunting. Core employment processes, like new hire onboarding, were handled manually by Populus and Scale lacked self-serve tools and transparency.
To extend offer letters, conduct background checks, and get critical new-hire documents signed Scale and a Populus Group account manager were forced to email back and forth endlessly. This workflow extended across dozens of
day-to-day employment processes, like PTO accruals and requests, time & attendance approvals, expenses, bonus payments, and more.
One specific example, is that Scale’s weekly bonus payments were taking up to a month to be paid out, resulting in frustrated, unhappy contractors.