3017 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
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AI & Tech Job Boards: A mix of pure-AI boards and broader tech boards. If you want ML engineering, AI research or applied science roles, start with the ai-jobs ones — the tech-jobs set is wider and will bury those listings under everything else.
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Answers come only from resources in this hub, with the sources listed.
A free job board covering openings across the Tech:NYC network — the industry group representing New York tech employers. It was showing 7,816 live jobs when I checked, and it is deliberately weighted towards in-person New York roles rather than remote listings. Filters cover job title and keyword, seniority, salary and company, and a separate tab lets you browse the member companies themselves, which is useful even if you never apply through the board. You can join their talent network and set job alerts free. Listings are aggregated by Getro, so the postings live on each employer's own site and the board is a directory pointing at them. Not just engineering: the roles on show ranged from banking and accounting at J.P. Morgan to enterprise sales at OpenAI to brand and communications work.
Why I recommend it: Use the company browser before the job list. Because every employer here is a Tech:NYC member, that tab is a ready-made target list of New York tech companies — and reaching a hiring manager at one of them directly beats being applicant 400 on the board. Two honest notes: the count changes daily and an aggregated board can carry stale postings, so always confirm the role still exists on the employer's own careers page before you invest time in a tailored application; and because it is New York-focused by design, it is the wrong board if you need remote work.
Current openings in data engineering, analytics and data science posted by Dataspace, a staffing firm that specialises in data roles.
From the site: Browse open data science contract jobs, including data science, engineering, and analytics roles at industry-leading companies nationwide.
Why I recommend it: A niche board rather than a big one. Worth a look precisely because far fewer people are applying through it than through the giant sites.
A free platform matching job seekers with public-interest and government roles: create a profile once and get matched with state and local government employers hiring.
Why I recommend it: Worth a profile if you want stable, mission-driven work. Government hiring is slow, so start earlier than you would in the private sector.
Y Combinator's free job platform listing thousands of engineering, design, sales, operations and internship roles at YC-funded startups, with one profile that founders can contact you through.
Why I recommend it: One application profile puts you in front of hundreds of funded startups. Great for early-career people who want responsibility fast; filter by "internship" and by how much experience is required.
A job search built on top of an AI recruiting platform, with best-match ranking, saved job preferences, and filters by category, industry, and experience level across a very large aggregated listing pool.
Why I recommend it: Set your job preferences first — the default feed is enormous and only becomes useful once the matching has something to work with.
A connected-candidate recruiting platform that matches job seekers with employers based on skills and fit, with tools for both candidates and hiring teams.
Why I recommend it: A niche job-matching option worth testing alongside the larger boards; set up a profile and see what roles it surfaces for your skills.
Job board dedicated specifically to AI, machine learning, and big data roles — ML engineering, data science, NLP, computer vision, AI research — aggregated from companies worldwide.
Why I recommend it: If you are specifically targeting an AI/ML role rather than "tech in general," this is more signal, less noise than a general tech board.
Matching platform that pairs students and recent grads with entry-level roles and internships based on their background, rather than requiring manual searching.
Why I recommend it: Useful if you're overwhelmed by other boards — you fill out one profile and let matches come to you instead of searching daily.
A free job search engine that indexes listings directly from company career pages instead of relying on job board postings, with unusually deep filters for salary, remote policy, visa sponsorship, and experience level.
Why I recommend it: I like this one because the listings come straight from employers, so you run into fewer ghost jobs and reposted duplicates. Use the filters hard — two or three well-matched searches beat scrolling for an hour.
Listings and requirements for Google's engineering and technical internships, with timelines for when applications open each cycle.
Why I recommend it: Internship cycles open earlier than most people expect. Check this monthly and apply the week a posting appears rather than waiting for a deadline.
Google's hub for student-facing engineering and technical roles, including apprenticeships, early-career programs, and eligibility details.
Why I recommend it: Bookmark this page rather than a single job link. Google rotates postings constantly, and the student hub is where new apprenticeship and early-career openings surface first.
A marketplace of remote and contract roles, many of them AI training and expert-review work, matched to your skills and availability.
From the site: Explore remote opportunities with top companies worldwide. Find roles that match your skills and work preferences.
Why I recommend it: Good for bridge income between full-time roles, and a way to build recent, verifiable work history. Read the pay terms on each listing carefully before you commit hours.
One of the largest technology staffing and IT services firms in North America, hiring for software, data, cloud, cybersecurity, help desk, and project delivery roles at enterprise clients.
Why I recommend it: If you want tech work at a large company without a referral, TEKsystems is often the actual hiring channel. Keep your resume keyword-clean for their recruiters, and ask directly which clients and rates a req covers before interviewing.
A curated board of active, fully remote tech jobs, filtered so listings are real and current rather than scraped duplicates.
Why I recommend it: Free to browse, but Remotive now gates part of its board: the newest and the full set of listings sit behind a paid membership, and you will see discount countdowns pushing it. The free view is still usable — and anything you spot there can usually be found on the employer's own careers page for nothing.
Job board for social impact technology roles at nonprofits, government, and mission-driven companies.
In plain terms: This job board features technology roles focused on social impact. You can find openings at nonprofits, government agencies, and mission-driven companies.
Why I recommend it: Fewer listings than the big boards, but a much higher share worth applying to.
A worker survey on whether AI is already causing job losses finds a more complicated picture than the headlines suggest, looking at how AI is actually affecting employment and day-to-day work.
The City Reporter (Sept. 30, 2026) on OpenAI and Anthropic opening large Manhattan offices and smaller AI companies drawn to NYC's talent pool, including City Council discussion of AI jobs.
Investopedia article on hiring rebounds in roles hit by AI and what that means for the value of related degrees. Investopedia blocked the automated check, so this description is based on the title.
A breakdown of ten new AI job titles — from agent orchestration to evaluations specialists — with what each role actually does and what hiring managers screen for.
From the site: Discover the 10 fastest-growing AI roles in 2026. Learn who to hire for ethics, UX, prompt engineering, and more. Stay ahead with AI talent.
Why I recommend it: Written to help companies hire, which makes it a clear read on the titles and skills being asked for right now if you are aiming at AI work.
OpenAI's announcement of GPT-6 Astra, its most capable model, with reported results on computer use, browsing, software engineering, cybersecurity, and professional work.
Why I recommend it: Read the capability list as a job-task list. Whatever a model does well this year reshapes entry-level work the next.
Former Google, Meta, Microsoft, and Intel employees talk candidly about what came after losing a six-figure tech job.
Why I recommend it: Details: helpful if you are in the first weeks after a layoff — the practical steps and the emotional timeline both get named honestly.
Practical guidance for career changers over 50 and 60 entering tech: which roles favor experience, how to handle age bias in screening, and how to sequence learning without overcommitting.
In plain terms: This guide offers practical advice for older adults looking to start a tech career after 60. Use it to explore matching roles, learn how to update your skills, and showcase your past experience to employers.
Why I recommend it: For my 50-plus readers: your judgment and stakeholder skills are the product. Lead with those, and let the tools be the second paragraph.
Announcement of the expansion of Next Chapter, a paid apprenticeship program that hires formerly incarcerated people into software engineering roles, to additional technology companies.
In plain terms: This article explains Next Chapter, a software engineering apprenticeship program designed for formerly incarcerated individuals. Job seekers can learn about paid training, mentorship, and career opportunities at technology companies like Slack, Dropbox, and Zoom.
Why I recommend it: One of the few second-chance tech pipelines with real hiring behind it. Share this with anyone who thinks a record ends the conversation.
A technical learning platform with 60,000+ books, 30,000+ hours of video, live online events, and interactive labs and sandboxes from O'Reilly and nearly 200 other publishers.
Why I recommend it: Check your public library card and any school or employer account before paying — many library systems give full O'Reilly access for free, and some live events are open to anyone.
A Duke Coursera course covering the Python tooling MLOps roles rely on — virtual environments, package management, linting, testing, and deploying models as reproducible pipelines.
Why I recommend it: Useful if you are targeting ML engineering or data-science roles and need to show you can ship models, not just train them.
A hands-on Coursera project course from IBM that walks through building and deploying a simple AI web application with Python and Flask, including REST API integration and packaging for production.
Why I recommend it: Good next step after you have basic Python and want to see how an AI feature actually ships in a small web app. Audit for free; certificate available.
Tuition-free, 18-week instructor-led virtual training that builds core IT networking skills and industry certifications, with optional specializations in data analytics, Python automation, penetration testing security, or healthcare IT. Graduates move into help desk, desktop support, systems administration, and cloud administration roles at employers including Citi, Deloitte, and Bank of America.
Why I recommend it: This is one of the strongest no-cost routes into tech if you do not have a degree or experience. It is instructor-led and cohort-based, so treat the application deadline seriously and be ready to commit real weekly hours for five months.
Free, senior-taught software engineering courses built for career acceleration, with pathways in web, mobile, cybersecurity, data, and AI-native applied engineering.
Why I recommend it: I often recommend CodePath to clients breaking into tech or leveling up their engineering skills without taking on bootcamp debt. The courses are rigorous, free, and taught by engineers who actually hire.
Hands-on introduction to Python, working with data, and calling APIs, with no prior programming required.
Why I recommend it: This is the practical first coding course for people who want to automate or analyze, not become a software engineer. Do the labs, not just the videos.
A year-long career accelerator that places Black software engineers, data scientists, and managers into small squads of 7 to 9 peers, with senior industry mentors, career roadmapping, accountability, and interview preparation.
In plain terms: This year-long career program connects Black software engineers and tech managers into small peer groups. You can create career roadmaps, receive regular accountability, and work with others to reach your professional goals.
Why I recommend it: Applications open each fall and close by mid-December for the following year. The squad accountability is what makes people actually follow through.
Apprenticeships of up to 12 months in software engineering and UX design for professionals from non-tech backgrounds and those who face barriers to entry. Apprentices join standard engineering teams and ship user-facing features.
In plain terms: This program offers up to one year of hands-on work and mentorship in engineering, design, and product roles for candidates without tech backgrounds. You can review job requirements, sign up for application updates, and apply to work toward a full-time career.
Why I recommend it: You work on real product, not a sandbox project, which means real portfolio material at the end.
A six-month paid software engineering apprenticeship aimed at career changers, self-taught coders, and bootcamp graduates from non-traditional tech backgrounds.
In plain terms: This five-month software engineering apprenticeship is designed for bootcamp graduates and self-taught coders without a computer science degree. You can apply to work on real coding projects, build your technical skills, and receive direct mentorship from experienced engineers.
Why I recommend it: Small cohort, so apply the day it opens. Self-taught with shipped side projects is exactly the profile they describe.
A six-month paid software engineering apprenticeship with dedicated mentorship and a strong record of converting apprentices into full-time roles.
In plain terms: This six-month paid software engineering apprenticeship is designed for people with non-traditional technical backgrounds. You can gain hands-on experience with dedicated mentorship and work toward a full-time engineering career.
Why I recommend it: This write-up from past apprentices is the best preview of what the program actually feels like. Check Asana's early-career jobs page for the live posting.
Paid, full-time apprenticeships at Google lasting roughly 12 to 24 months, across Data Analytics, IT Support, UX Design, Software Engineering, and Project Management. Built for people with less than a year of experience in the field who do not hold a related degree.
In plain terms: This program provides paid, full-time apprenticeships in fields like data analytics, software engineering, and project management for people without a related degree. You can explore open roles and apply to gain hands-on career training over 12 to 24 months.
Why I recommend it: No degree in the field is the point here, not a disqualifier. Pick one track and build two small projects in it before the window opens.
Apprentices are hired as full-time employees from day one, with 20% of working hours set aside for learning. Tracks include AI/ML engineering and backend engineering.
In plain terms: This paid apprenticeship program helps self-taught coders, bootcamp graduates, and career changers transition into technical roles at LinkedIn. You can apply for full-time engineering positions to gain hands-on experience, receive mentorship, and spend paid work hours building your skills.
Why I recommend it: The application looks past resumes and leans on essays and a take-home project, so this is a strong fit if your resume undersells you.
A 16-week immersive program mixing classroom learning with hands-on work on real Microsoft products, across Software Engineering, Technical Program Management, Support Engineering, and Data Analysis. Recruits heavily from bootcamps and non-traditional paths.
In plain terms: This 16-week program helps people with basic technical training and non-traditional backgrounds break into the technology industry. You can apply to combine classroom learning with hands-on experience working on real Microsoft products.
Why I recommend it: One of the most respected career-changer programs in tech. Read the application-process page closely; it tells you exactly what they score.
Large technology solutions provider; its site publishes free technical research, labs and articles alongside its own job listings.
Why I recommend it: Two uses: a big employer worth knowing about, and a source of free hands-on technical labs if you are building infrastructure skills.
Alphabet company applying AI models to drug discovery, spun out of Google DeepMind.
From the site: Isomorphic Labs is building a future where frontier AI can help to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.
Why I recommend it: A concrete example of AI applied to something other than chat. Worth a look if you are science-trained and wondering where AI hiring is happening outside big tech.
Montreal research institute founded by Yoshua Bengio: publications, research teams, and programs for students and visiting researchers.
From the site: Mila is a Montreal-based artificial intelligence research institute that brings together researchers from Université de Montréal, McGill University, Polytechnique Montréal and HEC Montréal.
Why I recommend it: Check the students and programs pages if you want to move toward research work. Academic institutes publish their entry routes more openly than companies do.
A company building governed, verifiable agentic infrastructure for enterprise systems, with free research and publications on its site.
From the site: Emergence builds mission-critical agentic infrastructure for enterprise. Verified, governed AI agents that plan, reason, and act across the most complex systems.
Why I recommend it: Their research and reports are free to read; the platform itself is an enterprise product, so treat the writing as the resource here.
A fellowship from a16z for aspiring forward-deployed engineers — people who sit with customers and build software directly against their problems.
Why I recommend it: The forward-deployed engineer role is one of the fastest-growing job titles in AI — this is a paid-attention way in before the market floods.
A paid AI research fellowship at DoorDash for summer and fall 2026, working on machine learning problems inside a large operating business.
Why I recommend it: Applied AI inside a logistics company teaches you constraints a lab never will — and the posting names its terms up front, which is a good sign.
Long-form interviews with AI researchers, founders, and scientists. Hosted by Lex Fridman.
In plain terms: This YouTube channel features long-form interviews with artificial intelligence researchers, scientists, and company founders. You can watch these discussions to learn about emerging technology, ethical issues, and scientific developments.
Why I recommend it: Long listens — good for commutes when you want depth over headlines.
Founder, Distributed AI Research Institute (DAIR). AI researcher and prominent voice on AI ethics, bias, and the risks of concentrated corporate control over AI development.
In plain terms: This LinkedIn profile belongs to Dr. Timnit Gebru, an artificial intelligence researcher and founder of the Distributed AI Research Institute. You can follow her page to read updates and commentary on technology ethics, bias, and research.
Why I recommend it: Pairs well with the DAIR entry in the library — independent research, not corporate PR.
California Policy Lab report (June 2026, Hyman, von Wachter and co-authors) using unemployment insurance claims to measure job losses linked to AI. Free PDF.
Joshua Gans and Avi Goldfarb's January 2026 NBER working paper modeling how automating some tasks in a chain of interdependent tasks changes the value of the remaining human work. Free PDF.
A free job board focused on AI, machine learning, data science, and data engineering roles, with company listings and a career insights blog. Job seekers can browse and search openings at no cost; employers pay to post roles.
A publisher covering cloud native, DevOps, open source, and AI-native software engineering news and analysis for developers, platform engineers, and engineering leaders.
Why I recommend it: One of the few tech news sources I trust to go deeper than the press release. If you are trying to understand what is actually happening in AI-native engineering, start here.
Weekly synthesis of AI research and policy by Jack Clark, Anthropic co-founder. 130K+ subscribers.
In plain terms: This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why I recommend it: Best place to understand the policy fights that will shape AI jobs.
A Center for an Urban Future report on how AI is reshaping entry-level tech hiring in New York City and what city leaders, educators, and employers can do to rebuild on-ramps for low-income New Yorkers.
Why I recommend it: Valuable context if you are entering tech in NYC or advising students and early-career talent on which pathways still lead to good first jobs.
Paid Summer 2027 Software Engineer internship at Mastercard in the United States. A strong early-career option for students interested in payments, security, and scaled engineering systems.
AWS's own page for students and recent graduates: internships, new-grad roles and the programs it runs to fill them.
From the site: It's amazing how having a job you love has a ripple effect on the rest of your life. Whether you're just getting started or you want to take on new challenges, you have an array of opportunities to build a great future at AWS. See why AWS is the best p...
Why I recommend it: Read the timelines carefully. Big-company early-career programs often close months before the start date, so a page that looks open all year usually is not.
Jane Street's listing of student programs and recruiting events in North America, including immersion and insight programs for first- and second-year undergraduates and workshops open to students exploring quant, trading, and software roles.
Why I recommend it: Several of these programs are aimed specifically at students who have faced barriers getting into tech and finance, and they recruit heavily from them. Deadlines run far ahead of the summer, so check dates now.
McKinsey Global Institute report (September 2026) on how AI, automation and structural trends are reshaping US jobs, examining which skills are growing or declining in demand and the pathways workers take into future jobs.
Newsletter of career opportunities, tech trends, and industry insight for current and aspiring Black technologists and entrepreneurs.
In plain terms: A newsletter mixing tech job opportunities with industry trends and commentary, built for Black technologists and entrepreneurs. A steady source of leads without scrolling job boards.
From the site: Career opportunities, tech trends, and industry insights delivered straight to your inbox. For current and aspiring technologists, entrepreneurs, and professionals.
Why I recommend it: Job leads plus honest industry commentary in one place. Subscribe and treat the opportunity posts as a weekly search prompt.
Question banks for more than 100 technical roles — Node.js, Azure, Golang, Kubernetes, OAuth and more — each with sample answers, updated regularly. Free to read with no sign-up.
From the site: Ready-to-use technical interview questions and structured guides for developer roles and frameworks, from Remix to Magento. Updated September 2026.
Why I recommend it: Written for the people doing the interviewing, which is exactly why it is useful — you get to see the questions and the answers they are grading against.
A vetted marketplace matching senior engineers, researchers and AI specialists with companies. Free for engineers to apply and be matched; companies pay only on hire.
From the site: Hire global, AI-first engineers with Index.dev. Skip delays and scale your tech team with pre-verified, secure, and compliant talent to build faster.
Why I recommend it: Free on the candidate side — you are the product being placed. Expect a real vetting process rather than a quick apply button.
An open-source (MIT) job-hunting automation tool that scans company career pages every 15 minutes, submits applications to applicant tracking systems when it is confident about a match, pulls wider market listings through the Adzuna jobs API, and sends alerts to Telegram.
Why I recommend it: Powerful and blunt. Auto-submitting applications will get you volume, not fit, so if you run this, keep the confidence threshold high and still write your own answers for the roles you actually want. Read the code before you hand it your resume.
