Where people to follow opportunities actually get posted, plus the places people find them without a posting at all. All 90 entries below are free to use and checked for whether they are still live.
90 free entries on this topic · see all of them · search within the topic
The ones I hand people first. Pick one, finish it, then come back.
Career strategy for landing roles without applying to hundreds of postings.
In plain terms: Follow this profile on LinkedIn for career search strategies. You can use his advice to land jobs without applying to hundreds of postings.
Why I recommend it: Why follow: his networking templates get replies from real hiring managers.
Disability Rights Lawyer, Author. The first Deafblind graduate of Harvard Law School; author of 'Haben: The Deafblind Woman Who Conquered Harvard Law' and a leading voice on accessible technology and inclusive design.
In plain terms: This is the LinkedIn profile of disability rights lawyer and author Haben Girma. Follow her page to learn about accessibility strategies, inclusive technology, and disability advocacy.
Why I recommend it: Her framing of accessibility as innovation, not charity, is worth borrowing.
Analytics and Excel teacher helping professionals build real data skills and use AI to increase their impact at work.
In plain terms: An Excel MVP and author teaching practical analytics skills you can apply at work, including how to pair them with AI tools. Self-paced and beginner-friendly.
From the site: Helping you build real-world analytics skills so you can partner with AI to accelerate your impact at work. Author, LinkedIn Top Voice, Microsoft Excel MVP.
Why I recommend it: A good fit if you want data skills without a bootcamp. His lessons are built around work you actually do in a job.
Things that do part of the work for you, free to use.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
Site and writing of security researcher Marcus Hutchins, known for stopping the WannaCry ransomware attack — malware analysis, security explainers and reflections from an unconventional path into cybersecurity.
Why I recommend it: A strong example of a self-taught technical career — worth following if you are breaking into security without a degree.
Steady sources, so you keep learning after this page.
Long-running advice blog and newsletter on workplace questions — offers, bosses, boundaries, and awkward interviews.
In plain terms: This workplace advice website answers real reader questions about job hunting, difficult bosses, interviews, and office dynamics. You can browse practical guidance for tricky career situations or submit your own question for advice.
Why I recommend it: When you are not sure whether something at work is normal, the archive has already answered it.
Leader in age-inclusive hiring and workforce advocacy, sharing research and practical guidance on ending age discrimination at work.
Why I recommend it: If you are over 50 and job searching, her feed will tell you what is bias and what is fixable in your own materials.
Short, extremely practical videos on resumes, LinkedIn, AI tools, and workplace communication.
In plain terms: This YouTube channel offers short, practical videos focused on career skills and job searching. You can watch tutorials on writing resumes, optimizing your LinkedIn profile, using AI tools, and communicating at work.
Why I recommend it: Watch the resume bullet formula video before your next application. It takes six minutes.
Weekly newsletter read by recruiters worldwide — where hiring is heading, told to the people doing the hiring.
Why I recommend it: Reading what recruiters read gives you months of advance notice on how hiring is changing.
Stanford professor who built ImageNet, co-directs Stanford's Human-Centered AI institute and co-founded the AI4ALL diversity pipeline program. Her faculty page collects the work; her Google Scholar list has the papers themselves.
From the site: Fei-Fei Li is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.
Why I recommend it: Start with ImageNet if you want to understand why the last decade of AI happened when it did. Google Scholar refuses automated visits, so that link may show no picture here.
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
From the site: Yoshua Bengio is Full Professor of Computer Science at Université de Montreal, Co-President and Scientific Director of LawZero, as well as the Founder and Scientific Advisor of Mila. He also holds a Canada CIFAR AI Chair.
Why I recommend it: One of the three people whose work made modern AI possible, who now spends much of his time arguing it needs guardrails. Read him alongside people who disagree.
Personal site of Adam Gleave, CEO and co-founder of the AI safety research lab FAR.AI, with his papers and writing on making models robust and evaluable.
From the site: Adam Gleave is the CEO of FAR.AI, an alignment research non-profit. His research interests include adversarial robustness and value learning.
Why I recommend it: Useful if you want the research side of AI safety rather than the commentary side. Papers first, opinions second.
Founder and Executive Director of Baddies in Tech, who built the community and BaddieCon to support Black and brown women in tech.
Former Tinder Latin America CEO and former L'Oréal Brazil Chief Digital Officer, author of "Between You and AI," helping organizations across Latin America and Europe navigate AI adoption.
Personal site of Andrew Critch, mathematician and AI safety researcher, collecting his papers, talks and writing on multi-agent risk and existential safety.
Why I recommend it: Denser than most safety writing and worth the effort. Note the site refuses automated visits, so the picture here may be a screenshot.
Personal site of Andrew Ng, co-founder of Coursera and DeepLearning.AI and a founding lead of Google Brain, collecting his courses, writing and current projects.
From the site: Andrew Ng has helped millions of people learn AI. Founder of DeepLearning.AI, AI Fund, and LandingAI. Co-Founder of Coursera. Board Director at Amazon.
Why I recommend it: His teaching is the cheapest serious on-ramp into machine learning that exists. Start from the courses list rather than the news.
Future of work advisor and founder of HRTechRadar, connecting HR technology, pay and workforce strategy from the Netherlands.
Why I recommend it: A rare voice that treats HR tech and compensation as one connected system instead of separate topics.
Short pieces worth the twenty minutes before you commit to anything bigger.
Personal Substack by 0xMovez AI covering AI, automation, and emerging technology for thousands of subscribers.
From the site: My personal Substack. Click to read 0xMovez's Substack, by 0xMovez AI, a Substack publication with thousands of subscribers.
Why I recommend it: AI and automation commentary; sample a few posts to see if the angle matches where you are in your career.
Sifting through the techno-cultural debris. A newsletter that examines technology, culture, and AI with a critical, humanistic lens.
From the site: Sifting Through the Techno-Cultural Debris.
Why I recommend it: A critical, humanistic lens on AI hype. Good for staying skeptical about the culture technology creates.
Newsletter on career growth, leadership, and navigating work as a professional woman.
Why I recommend it: Short, honest writing about the parts of career growth that do not fit in a framework. Worth a subscription.
Economic news and analysis explained in plain English by Mark Hamrick.
From the site: Economic news and analysis explained in plain English by Mark Hamrick
Why I recommend it: Mark Hamrick translates labor-market and Fed news into practical career context. Worth reading before making a big move.
Comparing two of these? Put them side by side.
