Internset

What if hiring didn’t start with resumes? Today, we’re introducing a new model at Internset, one that shifts hiring toward training before hiring and proof of capability. As hiring moves toward skills-based evaluation, most signals, resumes, degrees, even portfolios, are still self-reported and hard to verify. This creates friction in identifying real talent. We think the model needs to change. Instead of “hire, then train,” we’re enabling organizations to: - Train talent before making a hiring decision - Evaluate based on demonstrated capability - Identify readiness earlier in the process - Reduce uncertainty and improve hiring outcomes At the infrastructure level, this is supported by a system designed to be verifiable and auditable, including a blockchain-based verification and settlement layer powered by Stipent (STPN: Polygon). This is part of a broader shift: From credentials → to capability From claims → to proof From resumes → to verifiable signals We’re building toward a more reliable foundation for how talent is identified and trusted. Read the full release: https://lnkd.in/dSmq36bT

Breaking into frontier AI isn’t about credentials alone, it’s about proving you can build under real conditions. The OpenAI Residency is designed exactly for that. A six month, full time program where strong engineers and researchers step into live projects, learn in context, and ship work that matters. No classroom. No theory first approach. You’re evaluated on how you think, how fast you learn, and how you perform on real problems. It’s not a fellowship, it’s a hiring pathway. Deliver over six months, and you move into a full time role. A practical route for those with strong fundamentals who want to transition into cutting edge AI. Read the full article: https://lnkd.in/dr_JZqbA

We're #hiring a new Engineering Manager, API Infrastructure & Multicloud in India. Apply today or share this post with your network.

We're #hiring a new Data Engineering & Recruiting Analytics Specialist in India. Apply today or share this post with your network.

We're #hiring a new GRC Automation Engineering Lead in India. Apply today or share this post with your network.

What do interns actually build inside Meta's AI Inference teams? At Meta scale, interns aren’t just doing side projects. They’re working on core AI infrastructure: 🔵  Building and optimizing pipelines for model efficiency 🔵  Designing benchmarks to stress test GPUs, latency, and throughput 🔵  Ensuring models run across Nvidia, Intel, AMD, and MTIA hardware 🔵  Automating workflows to cut human overhead 🔵  Shipping code in Python, Rust, C++, React, and GraphQL This is not “fetch the coffee” work. It’s hands-on engineering where every improvement can save millions in compute and impact billions of users. Learn more here: https://lnkd.in/dVtE-Maw 

How do you land a Content Writing internship in a world run by ChatGPT? AI can write fast. It can polish. It can mimic. But Fortune 500 companies don’t hire for speed. They hire for thinking. For originality. For a voice that feels human. Our latest editorial breaks down 5 strategies that make hiring managers stop scrolling: ✅ Show proof of work, not just final drafts ✅ Build a writing style AI cannot fake ✅ Use AI smartly, not blindly ✅ Reverse-engineer what works for companies ✅ Publish in public before you apply If you’re serious about getting noticed, you need more than words. You need proof you can outthink the machine. Read the full post: https://lnkd.in/dPHcwqAQ

Now live: Multi-currency escrow on Compenset Internset has officially launched support for USDC and POL on Compenset, our Web3-powered escrow platform designed for freelancers, early talent, and clients working across borders. This update means you can now: 1. Settle deals in USDC, POL, or STPN 2. Keep 95% of your earnings — no hidden cuts 3. Transact with full smart contract protection 4. Onboard clients globally — no intermediaries needed Whether you're a designer in Manila, a developer in Nairobi, or a company hiring from New York, Compenset brings secure, stable, and low-fee payments into one seamless platform. Built by Internset DAO. Governed by the community. Read the full press release: https://lnkd.in/dn8VhX_R

What is the LexisNexis Data Analyst intern interview really like? Many early-career candidates are unsure what to expect, especially when it comes to technical questions, case studies, and soft-skill evaluations. We’ve outlined the full interview process, including the types of questions typically asked, the skills they focus on, and what LexisNexis values in a candidate. If you're preparing for this opportunity, knowing what matters most can make all the difference. Read more here: https://lnkd.in/d8JJUf5A

Not all workspaces are created equal. From buzzing offices to quiet cafes, where you work can shape how you work, and more importantly, who you become. So whether you're pivoting careers or just starting out, this read will help you choose the most appropriate work environment that aligns with your ambition, values, and lifestyle. Read the full article: https://lnkd.in/dg2xQHn9