<?xml version="1.0" encoding="utf-8"?> <rss version="2.0"> <channel> <title>Remote IT Jobs | Find Remote Tech Jobs Worldwide</title> <link>https://www.remoteitjobs.app</link> <description>Discover top remote IT jobs from leading tech companies. Search software development, DevOps, cybersecurity, and tech leadership positions. Apply to work-from-home tech jobs today.</description> <lastBuildDate>Wed, 11 Mar 2026 21:24:40 GMT</lastBuildDate> <docs>https://validator.w3.org/feed/docs/rss2.html</docs> <generator>https://github.com/jpmonette/feed</generator> <language>en</language> <image> <title>Remote IT Jobs | Find Remote Tech Jobs Worldwide</title> <url>https://www.remoteitjobs.app/images/logo-512.png</url> <link>https://www.remoteitjobs.app</link> </image> <copyright>All rights reserved 2024, RemoteITJobs.app</copyright> <category>Bitcoin News</category> <item> <title><![CDATA[AI Job Takeover? New Research Reveals Surprising Gaps Between Potential and Reality]]></title> <link>https://www.remoteitjobs.app/article/ai-job-takeover-new-research-reveals-surprising-gaps-between-potential-and-reality</link> <guid>ai-job-takeover-new-research-reveals-surprising-gaps-between-potential-and-reality</guid> <pubDate>Tue, 10 Mar 2026 20:15:16 GMT</pubDate> <description>< from economists Maxim Massenkoff and Peter McCrory at the AI company Anthropic assesses how exposed various professions are to AI by looking at the percentage of tasks in that field that the technology could potentially automate. They also try to gauge the gap between this total possible exposure, and the extent to which AI is currently being used to automate those tasks, a measure they call **“observed exposure.”** ## Potential AI exposure vs. ‘observed exposure’ The paper got a lot of attention on social media because the researchers included an eye-catching radar plot-style chart that highlights just how jagged AI’s impacts are, especially when it comes to observed exposure. That chart is here:  For instance, AI is having relatively large impacts on fields involving **office administration** and **computers and math**, but relatively little on things like life sciences and social sciences or healthcare, even though those two areas have relatively high potential exposures. Then there are those areas with very low potential exposure, such as construction and agriculture, where, in fact, Anthropic finds the observed exposure is, indeed, almost nil. Comparing the observed exposure findings to projections of job growth from the U.S. Bureau of Labor Statistics, the Anthropic researchers found that there was a correlation between higher observed AI exposure and lower BLS job growth forecasts for those fields. I somewhat question the agriculture finding given that predictive AI and robotics are potentially quite disruptive to agriculture and these technologies are already making inroads into farming. It’s just that this tech is different from the large language model-based systems that Anthropic is focused on. That said, maybe it isn’t bad advice for your kids to apprentice to a plumber, become an electrician, or try their hand at farming. The Anthropic paper notes that about 30% of American workers are not covered by the study because “their tasks appeared too infrequently in our data to meet the minimum threshold. This group includes, for example, Cooks, Motorcycle Mechanics, Lifeguards, Bartenders, Dishwashers, and Dressing Room Attendants.” Even in fields where the total potential exposure is high, such as those involving computers and math, where theoretical exposure is 94%, the actual number of tasks being automated today is far lower, in this case 33%. Office administration had the highest observed exposure at about 40%, against a total theoretical exposure of 90%. (Although it is important to note that these are average figures across broad categories. When it comes to more specific job titles, the observed exposure is a lot higher: 75% for computer programmers, 70% for customer service representatives, and 67% for data entry jobs and for medical record specialists.) ## How fast will the gap close? The big question now is: how fast will the gap between observed AI exposure and theoretical AI exposure close? I think the answer is that it will vary a lot between different professions. The idea that the same levels of automation that has hit software developers in the past six months is about to hit every other knowledge worker in the next 12 to 18 months seems off to me. I think it is going to take substantially longer. The Anthropic paper notes that so far, there’s very little evidence of job losses, even in the fields where the observed AI exposure is greatest, such as software development, although they do highlight [a study](https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/) from Stanford University that we’ve discussed in Eye on AI before, that showed there were some signs of a hiring slowdown among younger software programmers and IT professionals. (Still, even that study could not entirely disentangle that slowdown from the possible unwinding of overhiring during the pandemic years.) McCrory and Massenkoff highlight a few of the reasons why observed AI automation may be lagging behind its potential. In some cases AI models are not yet up to the tasks involved, they write. But in many others, they note, AI “may be slow to diffuse due to legal constraints, specific software requirements, human verification steps, or other hurdles.” As I have pointed out previously, in many fields, there simply aren’t good ways to automate and scale verification, and this is definitely holding back AI’s deployment. The potential AI impact is also not uniform across the population: women are significantly overrepresented in AI exposed fields compared to men; exposed workers are more likely to be white or Asian, and they are also more likely to be highly educated and higher paid. Given that such groups are also often better able to organize politically, if we do start to see significant job losses among these workers, we may see a significant political backlash that could slow AI adoption. The Anthropic economists also note that economists’ track records when it comes to predicting occupational change is poor. For instance, they call out previous research that found that about a quarter of U.S. jobs were susceptible to offshoring, but a decade later, most of those job categories had seen healthy employment growth. They also note that the U.S. government’s occupational growth forecasts have been right directionally, but have had little specific predictive value. In the end, the most honest answer to both questions—will I lose my job, and what should my kids study?—may be: I don’t know, and no one else does either. But it might not be a bad idea to learn something about plumbing.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>automation</category> <category>jobmarket</category> <category>research</category> <category>technology</category> <enclosure url="https://fortune.com/img-assets/wp-content/uploads/2026/03/GettyImages-2240813685-e1773165751370.jpg?resize=1200,600" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Tech Job Market Plummets: 92,000 Jobs Lost in February as Information Sector Continues Decline]]></title> <link>https://www.remoteitjobs.app/article/tech-job-market-plummets-92-000-jobs-lost-in-february-as-information-sector-continues-decline</link> <guid>tech-job-market-plummets-92-000-jobs-lost-in-february-as-information-sector-continues-decline</guid> <pubDate>Mon, 09 Mar 2026 20:15:17 GMT</pubDate> <description>< *Image: Freepik*]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>techjobs</category> <category>economy</category> <category>layoffs</category> <category>hiring</category> <category>unemployment</category> <enclosure url="https://assets.techrepublic.com/uploads/2026/03/unnamed-4.jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Silicon Valley's Secret Side Door: Asana CEO Reveals the Real Hack for Gen Z to Land Tech Jobs]]></title> <link>https://www.remoteitjobs.app/article/silicon-valleys-secret-side-door-asana-ceo-reveals-the-real-hack-for-gen-z-to-land-tech-jobs</link> <guid>silicon-valleys-secret-side-door-asana-ceo-reveals-the-real-hack-for-gen-z-to-land-tech-jobs</guid> <pubDate>Sun, 08 Mar 2026 13:15:13 GMT</pubDate> <description><![CDATA[## The Donut Box Dilemma: Gen Z's Desperate Job Hunt Tactics Getting a job in **Silicon Valley** has become so competitive that some ambitious **Gen Z** job seekers are resorting to extreme measures like **hand-delivering donut boxes** stuffed with résumés to founders' desks, hoping to stand out for the hottest tech roles. But according to **Dan Rogers**, the new CEO of the $1.8 billion workflow software company **Asana**, this flashy approach is nothing new—and it's not the real solution. ## The Reality Check: It's Always Been a Long Shot Despite facing **layoffs**, **hiring freezes**, and **AI anxiety** at unprecedented rates, Rogers warns that landing a job at tech giants like **Apple**, **Meta**, or **Alphabet** "has always been a long shot." He speaks from experience: Rogers is one of the few British Silicon Valley CEOs, having started in the small town of Grimsby and worked his way up through roles at **Dell**, **Microsoft**, **Amazon Web Services**, **Salesforce**, and **ServiceNow**. "I don't remember it being easy back in the day, honestly," Rogers exclusively tells Fortune. "For me, it was never going to be possible that I'd go straight to the hottest tech company in the hottest role. I always felt like I was going to have to work my way in." ## Asana CEO's Advice: Skip the Stunts, Build a Résumé That Can't Be Ignored When asked for advice for Gen Z trying to crack California's tech scene, Rogers doesn't offer quick hacks or interview stunts. Instead, he recommends **quietly building a résumé that's impossible to ignore**—even if it takes years and detours through less prestigious companies. "Maybe come into the side door instead of the front door," he suggests. Rogers stresses that landing an entry-level job, internship, or grad scheme directly at a top tech firm after graduating "is a long shot." For most Gen Zers, he says, the best route is to **build credible experience** somewhere that teaches the tech skills big names will eventually want. "For those of us that don't get through the front door, it's okay," he adds. "There are side doors along the way, and you've just got to build towards that. There are incredible experiences you can get, maybe in smaller companies, maybe in a slightly different region, maybe in a slightly adjacent category. After a stint there, you would be super valuable." ## The Mindset Hack: Learning Before Earning Rogers is proof that rejection from your dream tech company isn't the end. He had to work his way up through "side doors" in Texas and Seattle before finally making it to San Francisco. By then, he'd stacked enough varied experience to present a deep toolkit—his version of the "donut box." Ultimately, if you chip away at building skills in your twenties, the salary and title will come later. It's slower than a donut box stunt or cold emails, but far more reliable. "I once received some advice: learning before earning," Rogers shares. "You should make sure that the learning phase of your career extends as long as possible before you even think about the earning phase. What that really meant for me was there's no shortcut to putting the building blocks in place that you're going to need to be successful."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>techjobs</category> <category>careeradvice</category> <category>genz</category> <category>siliconvalley</category> <category>jobhunt</category> <enclosure url="https://fortune.com/img-assets/wp-content/uploads/2026/02/GettyImages-2183683092-e1771331013502.jpg?resize=1200,600" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Future-Proof Your Career: The 20 Most In-Demand Tech Jobs for 2026 and Beyond]]></title> <link>https://www.remoteitjobs.app/article/future-proof-your-career-the-20-most-in-demand-tech-jobs-for-2026-and-beyond</link> <guid>future-proof-your-career-the-20-most-in-demand-tech-jobs-for-2026-and-beyond</guid> <pubDate>Sat, 07 Mar 2026 20:15:24 GMT</pubDate> <description><![CDATA[The tech industry has undergone unprecedented transformation in recent years, with technologies like **artificial intelligence**, **machine learning**, and **data analytics** becoming integral across all sectors—from finance and healthcare to manufacturing and education. While this evolution presents incredible opportunities, navigating the landscape of in-demand careers can be challenging. This guide breaks down the top tech jobs poised for growth, along with actionable insights on how to prepare for them. ## Career Outlook for Tech Industry Jobs Despite recent layoffs and the rapid rise of AI reshaping the job market, the long-term outlook for skilled tech professionals remains **strongly positive**. According to the **Bureau of Labor Statistics (BLS)**, computer and IT occupations are projected to grow by **11.7%** from 2023 to 2033, with an estimated **317,700 openings each year**. This reflects a steadier, more sustainable demand compared to the overhiring of 2021–2022. Key trends shaping the future include: - **AI integration** across industries driving demand for skilled and ethical AI professionals. - **Software developers** and **database architects**—foundational to AI infrastructure—expected to grow by **17.9%** and **10.8%**, respectively. - A growing **skills gap** that could cost organizations **$5.5 trillion** by 2026, with **89% of technology recruiters** struggling to find candidates with the right skills. Employers are particularly seeking expertise in: - **AI and machine learning** - **Data science** - **Cybersecurity** - **IT operations and support** - **Process automation** The **World Economic Forum** identifies **AI, big data, networks, and cybersecurity** as the fastest-growing technical skills, alongside human-centered skills like **creative thinking, adaptability, and lifelong learning**. ## Top 20 In-Demand Tech Careers Based on current trends and BLS projections, here are the 20 most in-demand tech jobs, categorized for clarity and divided by expected salary ranges for the New York Metro area. ### Advanced Leadership Roles These high-paying roles require significant experience and leadership capabilities. #### 1. **Principal Software Engineer** — $227,000–$359,000+ - **Responsibilities**: Designing system architecture, reviewing technical decisions, aligning software with business goals. - **Skills**: Systems design, leadership, architecture frameworks, advanced coding. - **Relevant Degrees**: MS in Software Development & Engineering, MS in Computer Science. #### 2. **AI Product Manager** — $153,000–$230,000+ - **Responsibilities**: Defining AI product roadmaps, prioritizing features, ensuring ethical AI use. - **Skills**: AI/ML literacy, product strategy, data analysis, stakeholder communication. - **Relevant Degrees**: MBA, MS in Computer Science, MBA in Business Analytics. #### 3. **IT Manager** — $105,000–$179,000 - **Responsibilities**: Supervising IT staff, managing system upgrades and budgets, ensuring compliance. - **Skills**: Leadership, IT strategy, project management, budgeting. - **Relevant Degrees**: MS in Information Systems, MBA in Information Systems. #### 4. **Product Manager** — $119,000–$207,000 - **Responsibilities**: Conducting market research, leading feature prioritization, monitoring product performance. - **Skills**: Agile methods, product strategy, research, leadership. - **Relevant Degrees**: MBA, MS in Information Systems, MBA in Business Analytics. #### 5. **Product Designer** — $87,000–$149,000 - **Responsibilities**: User research, developing wireframes and prototypes, collaborating with engineers. - **Skills**: Prototyping, design systems, Figma, user research, creative thinking. - **Relevant Degrees**: BS in Digital Design, MS in Human-Centered Design. ### High-Growth Technical Roles These roles represent high-demand specialties ideal for those investing in new technical expertise. #### 6. **Machine Learning Engineer** — $133,000–$215,000 - **Responsibilities**: Building and training ML models, optimizing algorithms, deploying models into production. - **Skills**: Python, TensorFlow/PyTorch, algorithms, data modeling. - **Relevant Degrees**: MS in Data Science, MS in Computer Science, MS in Artificial Intelligence. #### 7. **Data Scientist** — $124,000–$210,000 - **Responsibilities**: Designing statistical models, conducting experiments, communicating insights. - **Skills**: Statistics, ML, R/Python, SQL, visualization. - **Relevant Degrees**: MS in Data Science, MS in Business Analytics, PhD in Computer Science. #### 8. **Cybersecurity Engineer** — $130,000–$210,000 - **Responsibilities**: Implementing security measures, conducting vulnerability assessments, monitoring incidents. - **Skills**: Threat detection, penetration testing, compliance, incident response. - **Relevant Degrees**: BS in Cybersecurity, MS in Cybersecurity. #### 9. **DevOps Engineer** — $125,000–$197,000 - **Responsibilities**: Building CI/CD pipelines, automating deployment, managing containers. - **Skills**: CI/CD, cloud infrastructure, containerization, scripting. - **Relevant Degrees**: MS in Information Systems, MS in Computer Science. #### 10. **Cloud Engineer** — $134,000–$221,000 - **Responsibilities**: Deploying and managing cloud environments, configuring security, automating backups. - **Skills**: AWS/Azure/GCP, Kubernetes, virtualization, automation. - **Relevant Degrees**: MS in Enterprise Analytics, MS in Information Systems. #### 11. **Site Reliability Engineer (SRE)** — $140,000–$220,000 - **Responsibilities**: Automating system monitoring, building reliability tools, resolving outages. - **Skills**: Monitoring, automation, coding, cloud platforms. - **Relevant Degrees**: MS in Computer Science, MS in Information Systems. #### 12. **Data Engineer** — $112,000–$187,000 - **Responsibilities**: Designing ETL processes, optimizing data storage, managing distributed systems. - **Skills**: SQL, Spark/Hadoop, ETL, Python/Scala. - **Relevant Degrees**: MS in Data Science, MS in Information Systems. #### 13. **Information Security Analyst** — $113,000–$185,000 - **Responsibilities**: Monitoring networks for breaches, investigating incidents, enforcing security policies. - **Skills**: Threat monitoring, IDS/IPS, compliance frameworks. - **Relevant Degrees**: BS in Cybersecurity, MS in Cybersecurity. ### Solid Foundational Roles These essential positions are ideal for new graduates and career pivoters seeking reliable entry points into tech. #### 14. **Software Engineer** — $129,000–$210,000 (entry to senior) - **Responsibilities**: Writing and testing code, debugging applications, collaborating on development teams. - **Skills**: Programming (Java, Python), debugging, collaboration. - **Relevant Degrees**: BS in Computer Science, BS in Software Engineering. #### 15. **Web Developer** — $82,000–$143,000 - **Responsibilities**: Writing HTML/CSS/JavaScript code, creating responsive layouts, testing site performance. - **Skills**: HTML/CSS/JavaScript, React/Angular, responsive design. - **Relevant Degrees**: BS in Computer Science, BS in Information Systems. #### 16. **Mobile Application Developer** — $113,000–$177,000 - **Responsibilities**: Developing iOS/Android apps, testing across devices, optimizing performance. - **Skills**: Swift, Kotlin, cross-platform frameworks. - **Relevant Degrees**: BS in Computer Science, BS in Software Development. #### 17. **Data Analyst** — $74,000–$125,000 - **Responsibilities**: Collecting and cleaning data, running statistical analyses, building dashboards. - **Skills**: SQL, Excel, Tableau/Power BI, critical thinking. - **Relevant Degrees**: MS in Data Science, MS in Business Analytics. #### 18. **Business Analyst** — $85,000–$141,000 - **Responsibilities**: Gathering business requirements, mapping workflows, communicating between teams. - **Skills**: Process modeling, requirements gathering, communication. - **Relevant Degrees**: MS in Information Systems, MBA. #### 19. **Network Administrator** — $83,000–$139,000 - **Responsibilities**: Configuring and monitoring networks, troubleshooting performance issues, managing firewalls. - **Skills**: Networking protocols, troubleshooting, firewalls. - **Relevant Degrees**: BS in Information Technology, BS in Cybersecurity. #### 20. **Database Administrator (DBA)** — $87,000–$148,000 - **Responsibilities**: Managing database access, optimizing queries, backing up data, ensuring security. - **Skills**: SQL, backup management, database design, tuning. - **Relevant Degrees**: MS in Information Systems, MS in Data Science. ## How to Prepare for a Career in Tech To succeed in these competitive roles, follow these actionable steps: 1. **Build Practical and Technical Skills**: Master fundamentals through advanced degree programs, online platforms, and personal projects. 2. **Earn Certifications and Advanced Degrees**: Pursue industry certifications (e.g., **AWS, CompTIA, CISSP**) and advanced degrees to deepen expertise and open leadership opportunities. 3. **Network and Stay Informed**: Attend conferences, join professional associations, and follow industry trends to stay ahead. 4. **Develop Soft Skills and Critical Thinking**: Enhance communication, teamwork, adaptability, and problem-solving abilities. 5. **Gain Hands-On Experience**: Seek internships, bootcamps, and project-based learning to build a professional portfolio. As **Dr. Christelle Scharff**, professor and director of the Artificial Intelligence Lab at Seidenberg, notes, "I’ve seen firsthand the growing interest and need for AI education at every level." This sentiment is echoed by **Dr. Jonathan H. Hill**, Chief Transformation Officer at Pace, who emphasizes, "We are not only developing industry-ready graduates—we are also building leaders who will shape how AI is implemented, understood, and governed." ## FAQ **Which tech job is highest in demand?** **Software engineers** and **data scientists** lead the pack, with **cloud engineers** and **cybersecurity specialists** also experiencing rapid growth. **Which IT field has the highest salary?** **Artificial intelligence** roles, such as AI engineers and machine learning specialists, command top salaries, often reaching **$180,000–$250,000+**. **Which tech jobs make 6 figures?** Most mid- to senior-level roles in **software engineering, data science, machine learning, cloud computing, and cybersecurity** earn six-figure salaries, with leadership positions exceeding **$150,000**. **What tech skill pays the most?** **AI and machine learning expertise** currently top the list, followed by **advanced data science** and **cloud architecture**.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>techjobs</category> <category>careergrowth</category> <category>ai</category> <category>cybersecurity</category> <category>datascience</category> <enclosure url="https://www.pace.edu/sites/default/files/2026-03/seidenberg-article-teaser-tech-careers.jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Tech Job Crisis Deepens: Losses Now Worse Than 2008 and 2020 Recessions]]></title> <link>https://www.remoteitjobs.app/article/tech-job-crisis-deepens-losses-now-worse-than-2008-and-2020-recessions</link> <guid>tech-job-crisis-deepens-losses-now-worse-than-2008-and-2020-recessions</guid> <pubDate>Fri, 06 Mar 2026 20:15:28 GMT</pubDate> <description>< *Tech jobs are showing unprecedented weakness in the US labor market. (Tfilm/Getty Images)* ### Unprecedented Job Losses Friday's shockingly weak jobs report revealed a loss of **92,000 jobs** in February across the broader economy, far below the expected gain of 55,000 jobs. Economist **Joseph Politano** highlighted that the tech sector has experienced an especially rough couple of years, with job losses now occurring at "one of the most rapid rates of the last 20 years." Historically, the US would typically add **100,000 to 300,000 tech jobs** annually, with quick rebounds even during pullbacks. However, Politano notes this time is different: "The fact that the only thing that you can compare it to is the worst tech job recession of all time is pretty bad." ### Comparing to Historical Downturns This current downturn is already **significantly worse for the tech sector than the 2020 recession**, and slightly worse than 2008. The most apt comparison is to the **dot-com bust**, although today's situation isn't quite as dire yet. "The length is really important here," Politano emphasized. "It's been **three years of job losses**. It took only about four years for recovery to start from the dot-com bust. The fact that we're now three years into this and it's actually getting worse is a really big deal." ### Broader Market Weakness It's not just tech feeling the pain. Manufacturing, which has been cooling for years, saw employment fall, as did the government sector. Healthcare, which had been propping up the job market, lost jobs in February, exacerbated by a roughly monthlong Kaiser Permanente strike. "Everything was looking pretty weak by different industries," said Cory Stahle, an economist at the Indeed Hiring Lab. ### Impact on New Graduates and STEM Workers New **college graduates** who focused on STEM fields and other people seeking their first jobs could be especially hard hit by the tech hiring downturn. "You really feel for those people who started studying computer science four or five years ago and were told that, 'Hey, this is a surefire way to get in the labor market, make a good salary,'" Stahle said. "Now we're seeing just a continuation of this trend of fewer and fewer hires being made in the tech sector." ### The AI Factor The latest job numbers don't yet reflect the sweeping layoffs from Block, which excised nearly half its workforce last week. In his announcement outlining the cuts, **CEO Jack Dorsey** cited **AI as a reason**, saying that "the intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working." Politano believes AI is likely behind at least some of the tech labor market's losses: "How much of it you want to ascribe is really hard to tell, but I don't think it's a coincidence that computer system design is one of the industries that's losing the most jobs." While AI firms are hiring, they're bringing on far fewer employees than Big Tech behemoths. The types of jobs lost, and the timing of those losses, point to at least some impact from AI. ### Looking Ahead "We clearly haven't seen the end of this right now," Politano said of the future of the tech sector. "I expect that it will be this dribble of bad news for the near term going forward, but I just think that there's no positive evidence that we're breaking out of this post-2022 cycle that tech has been stuck in. Until you see that kind of evidence, I think there's very little chance of a reversal."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>techjobs</category> <category>layoffs</category> <category>jobmarket</category> <category>recession</category> <category>aiimpact</category> <enclosure url="https://i.insider.com/69ab2496fd4fbd083f29aecd?width=1200&format=jpeg" length="0" type="image//69ab2496fd4fbd083f29aecd"/> </item> </channel> </rss>