New: RL environments scored against human competitors →

Data Scientist

You will build the tasks where feature engineering quietly decides the outcome, and define what separates a legitimate feature from one that will not exist at inference time.

What we are looking for

Applied, production experience

  • Production experience — You have shipped a model other people depended on
  • Feature discipline — Clear judgment on what is available at prediction time
  • Diagnostic skill — Distribution shift, drift, and silent degradation
  • Clarity — Ability to explain why a metric improved for the wrong reason

Work you might do

  • Designing datasets with deliberately planted leakage
  • Reviewing agent feature engineering for future information
  • Measuring distribution-shift sensitivity across tasks
  • Writing the rationale behind each planted trap

How it works

Apply now, or join the list.

  1. 01

    Apply or join the waitlist

    Apply for this role in a minute, or leave your email and field below.

  2. 02

    Get invited when your world opens

    We invite experts in waves, as environments in each field go live.

  3. 03

    Define what correct means

    Paid, remote contract work: set the rules agents are graded against and review their runs.

Not ready to apply? Join the expert waitlist and we will write when a world in your field opens.

Paid, remote, contract work. Top rates from $40 to $300 an hour, by role.