Measure what people, and AI, can really do on real-world tasks. The evaluation enterprises trust to hire, benchmark, and develop their teams. The same rigor AI labs trust to test their models.
One layer, every talent decision
Filling a role this week, briefing the board on workforce readiness, or building an AI-fluency program: each depends on the same thing, a true read on what people can actually do.
For recruiters, hiring managers & engineering teams
Screen and interview candidates on real work, real code, real problems, not memorized puzzles or a smooth conversation. Verify identity so the person you evaluate is the person you hire. Score every candidate the same way, so weak applicants don't reach your senior engineers and strong ones don't slip away waiting for a calendar slot.
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For CHROs & people-analytics leaders
Get a verified picture of what your people can actually do, not what a resume claims or a manager guesses. Answer "how AI-ready is our workforce?" with data instead of adjectives. Back every hiring, promotion, and mobility decision with rubric-based evidence that holds up to audit.
For heads of L&D & capability
Measure skills built, not courses completed. Validate AI fluency through real practice: work done, not videos watched. See the skill adjacencies that make engagement possible, so you can develop talent instead of losing it.
What real evaluation does
The Platform
The skills library, evaluation engine, and skills map, it's the core that delivers results where a score actually means.
Learn more →Proctoring, government-grade identity verification, and a full audit trail ensures that work is the candidate's own. No proxy candidates.
Learn more →Advanced analytics with workflow automation build in. Native ATS integrations and an API to build on for custom use cases. Trust center for easy security review.
Learn more →Every HackerEarth product runs on the same platform: a deep skills library, rubric-based evaluation, a built-in integrity layer, native integrations, and enterprise-grade security and compliance.
Proof at scale
See how a national coding challenge run on HackerEarth assessment platform turned 15,000+ participants into a ranked shortlist of top engineers in three weeks while also driving engagement.
Read Case Study →
How Microsoft amplified their platform adoption by engaging 10,000 global developers and helped solidify Azure as the go-to cloud platform in the minds of thousands of developers.
Read Case Study →
See how a Fortune 1000 firm made its workforce AI-proficient, pairing a 47-course upskilling program with HackerEarth assessments to build proven capability.
Read Case Study →Run hackathons with a community of 10M+ developers, and drive adoption through real projects built on your APIs and tools, not ad impressions.
Explore Hackathons→The same evaluation layer that powers enterprise hiring produces the human baselines, reasoning traces, and verified, rubric-scored datasets AI labs need to evaluate and train models, from real-world problems solved across 1,000+ skills.
Explore Vibe Code Arena→COMMON QUESTIONS
A short walkthrough, mapped to how you hire, benchmark, and develop talent.
Ask an AI
Pre-formulated prompts you can fire into your favorite AI assistant.
"As a talent-acquisition leader evaluating assessment platforms, how does HackerEarth differ from the alternatives, particularly on scoring reliability and preventing cheating? Source: https://hackerearth.com/"
Offices
Sunnyvale · Bengaluru · Remote worldwide
