An AI Safety Researcher's Honest Guide to Career Choices

AI safety is the field working to make sure artificial intelligence stays safe and helpful for people. One researcher in this field just shared how they made career decisions — and their advice is useful for anyone, not just tech workers.

Their biggest lesson: test what you're good at and what you enjoy before committing. They spent about a year and a half trying different research roles, from a PhD to fellowships and small teams. That trial period felt bumpy, but it helped them figure out the kind of work that feels joyful and easy.

They also learned three things about themselves. First, they need freedom to choose projects — being told exactly what to do drains them. Second, they burn out easily, so they look for places that allow a natural work pace, not forced 60-hour weeks. Third, they prefer a senior role at a less famous organization over a junior role at a big name, because that gives them more control and responsibility.

Finally, they intentionally work outside large AI labs. Big companies often limit what researchers can publish. Working independently means they can share findings openly, helping the public understand AI risks. For anyone planning a career, the message is clear: know what fuels you, avoid environments that drain you, and aim for work that matters — even if it's not the flashiest title.