[Skill profile] “Engineering skills” by Benjamin Hilton

Funding for AI safety is surging, but the field needs dozens of new grantmakers to connect that money with impactful projects. Learn what it takes to make effective grants, which backgrounds are a promising signal for your fit, and how to explore this career path. Narrated by AI. --- Outline: (00:10) Summary (02:48) Recommended (02:57) Review status (04:27) Why work on grantmaking for AI safety? (06:17) There simply aren't enough grantmakers (06:55) Your work can have extremely high leverage (10:49) You can help your grantees do more good (12:52) The job can be highly fulfilling (14:27) What do grantmakers actually do? (17:33) Could you be a good fit? (17:37) Skills that will help you succeed (22:08) Promising background experience (22:54) Downsides to working on grantmaking (25:09) Top organisations (26:30) How to enter the field (28:21) Find jobs in AI safety grantmaking (28:43) Speak with us (29:04) Learn more (29:07) Notes on the philanthropic situation (29:36) Personal reflections from grantmakers (30:02) Other resources (30:27) Acknowledgements The original text contained 12 footnotes which were omitted from this narration. ---

Organisations with influence, financial power, and advanced technology are targeted by actors seeking to steal or abuse these assets. A career in information security is a promising avenue to support high-impact organisations by protecting against these attacks, which have the potential to disrupt an organisation's mission or even increase existential risk. Narrated by AI. --- Outline: (00:12) Summary (02:09) Recommended (02:19) Review status (05:26) Why work on AI security? (06:33) Ways to contribute (06:37) Protecting AI from external attackers (08:39) Stopping subversion from misaligned AI ("AI control") (11:28) Verification, compliance, and AI governance (13:39) What's it like to work on AI security? (15:22) Would you be a good fit? (16:58) Useful skills (18:57) Key roles to aim for (21:30) Downsides to working on AI security (22:03) How to enter with a lot of experience (23:15) How to enter early in your career (24:09) Where can this work be done? (24:13) Top organisations to work for (24:45) Smaller organisations (25:07) Grantmakers (25:36) Find jobs in AI cybersecurity (25:46) Speak with us (26:06) Learn more (26:09) External attacks (27:01) AI control (27:31) AI governance (27:47) Acknowledgements The original text contained 5 footnotes which were omitted from this narration. ---

The US federal government has jurisdiction over the most prominent AI companies in the world — and the people working inside it may have more influence over AI's future than almost anyone else. But government AI policy work is hard to break into, politically constrained, and carries a real risk of doing harm. Learn what it actually takes to build a career in US government AI policy: which roles and agencies matter most, what skills you'll need beyond technical expertise, and how to think honestly about whether Washington's political culture is a place where you'll thrive. Narrated by AI. --- Outline: (00:10) Summary (01:50) Recommended (02:00) Review status (02:05) Why work in AI policy within the US government? (04:04) Would you be a good fit? (04:08) What skills are needed to succeed? (06:02) What experience is useful (07:02) What else do you need? (08:12) Downsides to working in US government AI policy roles (08:18) Risk of doing harm (09:50) Risk of burnout (10:07) Top organisations (10:54) Executive branch (10:59) Executive Office of the President (12:04) Departments and agencies (13:44) Congress (16:38) State governments (17:37) Government contractors (18:42) Next steps (18:46) If you're ready to apply for jobs (18:55) If you need to build career capital (21:04) Speak with us (21:25) Learn more (21:28) Top recommendations (22:36) Further recommendations (23:44) Acknowledgements ---

Explore how careers in biosecurity research, policy, and entrepreneurship can help reduce risks like engineered pandemics. Narrated by AI. --- Outline: (02:18) Recommended (02:27) Review status (02:32) Why work on pandemic prevention? (02:37) It could save millions of lives (03:32) It isnt very speculative (04:23) There are many tractable approaches (05:27) It doesnt require working on AI (06:28) What does this path involve? (07:39) Technical careers (09:28) Policy careers (11:00) Entrepreneurial and operations careers (13:41) Other careers (14:36) Could you be a good fit? (14:40) The best backgrounds and skill sets (19:24) What do you want from a job? (21:05) Four ways to test your fit (22:51) Guidance for experienced professionals (23:51) Find jobs in pandemic prevention and biosecurity (24:37) Learn more (24:40) Top recommendations (25:20) Other resources (26:17) Further recommendations The original text contained 1 footnote which was omitted from this narration. ---

We all want to find a dream job that’s enjoyable and meaningful, but what does that actually mean? Some people imagine that the answer will come to them in a flash of insight, while others think what matters is that their dream job is easy and well paid. At 80,000 Hours, we’ve reviewed three decades of research into what makes for a satisfying career, drawing on hundreds of studies, and didn’t find much evidence for either conclusion. Instead, we found five key ingredients of a dream job. They don’t include income, nor are they as simple as “following your passion.” What’s crucial is to get good at something that helps other people. Let’s start with where we go wrong. The bottom line: What makes for a dream job? Decades of psychology research suggests there are five key things to look for in a dream job: Work that’s engaging hour-to-hour Work that helps others Source: https://80000hours.org/career-guide/dream-job/ Narrated by the author. --- Outline: (00:00) What makes for a dream job? (00:35) Where we go wrong (13:59) What you should really aim for in a dream job (21:50) Don't follow your passion — instead, do what matters (24:30) How to put these ideas into practice ---