Responsible AI jobs

Working in responsible AI

Where AI governance sets the rules, responsible AI teams do much of the testing. Roles range from applied scientists who design fairness and robustness evaluations to programme managers who make sure the findings change what gets shipped.

Employers value people who can work with ambiguity. There is rarely a single correct metric for fairness, and good candidates can explain the trade-offs to a product lead without hiding behind jargon.

What employers usually ask for

• Experience evaluating machine learning systems, or working closely with people who do
• Understanding of fairness, explainability and robustness methods and their limits
• Ability to write up findings for decision-makers
• For technical roles, Python and common ML tooling