Sitting behind
computers in cities across the world, his startup Scale AI’s workers
type out the stories, label the images, and craft the sentences that
furnish chatbots with the text they need to better understand human
speech patterns. Dubbed data labeling, their tasks range from composing
haikus and summarizing news articles to writing stories in languages
like Xhosa or Urdu.
The
labor-intensive operation has become so in demand by businesses eager
to enter the AI race that Scale’s revenue pace tripled last year,
boosting its valuation to $14 billion. Wang’s stake is estimated at
about $1.7 billion. The 27-year-old founder likens his company’s
importance in the AI revolution to the computing chips developed by Nvidia—currently the hottest tech company in the world.
Inside
Scale’s 180,000-square-foot office in San Francisco, employees recruit
labelers by posting advertisements on websites like Reddit and LinkedIn,
touting the benefits of flexible remote work. Others review batches of
data, or monitor issues around onboarding workers and paying them.
The
startup’s contractors often don’t know they are working for Scale. They
complete tasks through two websites, called Remotasks and Outlier,
neither of which publicize their affiliation with the startup. Projects
are given code names so workers don’t know which clients they are
labeling for. Scale typically uses animals as code names, such as
Ostrich for OpenAI and Bee for Apple, though it has recently gotten more creative. Google’s code name, for example, is Bulba, a Pokémon reference.
Managing
this empire is difficult. Some workers quit, saying they are frustrated
with delayed payments and gig-work wages, which can run as low as $8 an
hour. Others have found ways to cheat at their jobs to increase their
productivity and make more money. At times, the data they produce is so
low-quality that Scale’s own employees—even executives and top
engineers—have had to redo it themselves.
Wang,
who is Scale’s chief executive, says he’s trying to move beyond it. He
called the business “mundane and unsexy,” and says he’s developing a new
suite of software products, such as tools to help businesses create AI
applications, that typically command higher margins and are more favored
by the venture-capital crowd.