HackerEarth

HackerEarth is an evaluation platform that measures what people and AI models can actually do on real-world tasks. Enterprises use it to hire engineers, benchmark workforce skills, and build capability programs, while AI labs use the same evaluation layer for human baselines and verified training data. The platform has evaluated 150M+ solutions across 1,000+ skills from a community of 10M+ developers.

HackerEarth's evaluation layer is one shared system of skills, rubrics, and calibrated scoring that sits under every product, so a score means the same thing whether it comes from a coding assessment, an AI interview, or a workforce skills profile. Because the layer is shared, results are comparable across tools and are calibrated against a global pool of 10M+ developers rather than a single company's applicants. It is the same infrastructure HackerEarth uses to evaluate both human candidates and AI models.

HackerEarth lets companies test coding and technical skills with real-world assessments rather than memorized-puzzle quizzes: candidates write real code, debug real systems, and solve real problems in a live IDE across 40+ languages. Every submission is scored on a multi-dimensional rubric, with proctoring and identity verification built in, and calibrated against 150M+ previously evaluated solutions so results are comparable across the industry, not just within one applicant pool.

HackerEarth evaluates real work rather than memorized puzzles, scores it on a multi-dimensional rubric with the reasoning behind every number, and calibrates every score against 150M+ evaluated solutions so results are comparable across the industry. Identity verification, proctoring, and AI-cheating detection are built in, and all HackerEarth products share one underlying platform and data model, so assessments, interviews, and workforce skills data stay consistent and connected.

HackerEarth supports technical skills assessments, soft skills assessments, AI interviews (OnScreen), live panel interviews (FaceCode), workforce skills intelligence and development (SkillsGraph), and developer hackathons, all on one evaluation layer built on scientific rubrics. It covers 1,000+ skills across engineering and technical roles, from live coding and system design to specialized and AI-engineering domains, calibrated from junior IC through senior levels, and also assesses non-technical skills in areas such as finance, marketing, and customer support using the same rubric-based methodology. The same layer evaluates AI models and agents too, so people and AI are measured against one consistent standard.

HackerEarth prevents cheating with a built-in integrity stack: government-grade identity verification (KYC), SmartBrowser lockdown that blocks AI-assistance tools and copy-paste, AI-generated-code and plagiarism detection, proctoring, and a full audit trail. Together these confirm the work is the candidate's own and eliminate proxy candidates, so results stay trustworthy enough for high-stakes hiring decisions.

HackerEarth handles AI-assisted cheating in two ways depending on the role: SmartBrowser can lock the environment and block outside AI tools for closed-book assessments, while AI-generated-code detection flags solutions that show AI patterns. For roles where using AI is part of the job, HackerEarth can instead run an AI-augmented, identity-verified assessment that measures how well a candidate actually uses AI tools, rather than simply blocking them.

HackerEarth's workforce skills intelligence (SkillsGraph) maps what your people can actually do against role requirements, giving CHROs and people-analytics teams a verified skills inventory instead of guesswork. Results are calibrated against a global pool of 10M+ developers, so you can benchmark your workforce against the wider industry and identify skill gaps, AI-readiness, and internal mobility opportunities with evidence.

HackerEarth scores every response on a multi-dimensional rubric, with the reasoning behind each number, and calibrates it against 150M+ evaluated solutions so a score means the same thing across tools and across the industry. Because scoring is rubric-based and validated by industrial-organizational psychologists rather than ad hoc, the results are consistent enough to defend in a regulated hiring review or an audit.

Yes. HackerEarth offers native integrations with major applicant tracking systems, an API for custom use cases, workflow automation, and advanced analytics, plus a Trust Center that speeds up security review. It is designed to live inside your existing hiring stack rather than replace it, so scores and reports land in the tools your team already uses.