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HackerRank

HackerRank is a technical skills assessment platform for developer hiring that uses coding tests, interviews, and AI-based features (question generation, ML plagiarism/AI-code detection, and image-analysis proctoring) to evaluate candidates.

HireAIScore rates HackerRank 55 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. HackerRank ranks 11 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 18 evidence items across 7 rubric criteria for HackerRank — 14 with a cited source, 4 recording that nothing was located.

§ 01 - Company facts

Legal name
HackerRank, Inc.
Founded
2009
Headquarters
United States · US
Pricing tier
Enterprise
Market side
Employer-side (AEDT)
Categories
AssessmentScreeningVideo interview
Website
hackerrank.com

These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.

§ 02 - Score breakdown

§ Score breakdown

Category scoring

Weighted contribution shown to the right of each bar.

  1. 01

    Article 11 Technical Documentation

    Weight 20%

    60

    +12.0 · category avg 53

  2. 02

    Bias Audit Transparency

    Weight 18%

    68

    +12.2 · category avg 47

  3. 03

    FRIA Support

    Weight 15%

    35

    +5.3 · category avg 32

  4. 04

    Data Governance Disclosure

    Weight 15%

    55

    +8.3 · category avg 55

  5. 05

    Human Oversight Design

    Weight 12%

    60

    +7.2 · category avg 55

  6. 06

    Post-Market Monitoring

    Weight 12%

    45

    +5.4 · category avg 39

  7. 07

    Customer Documentation

    Weight 8%

    62

    +5.0 · category avg 59

Category avg is the mean raw score on that criterion across the 49 Assessment AI vendors in scope of this rubric, this one included.

Total weighted score: 55.3(rounded to 55 for display)

§ 03 - Strongest · weakest

Strongest category

Bias Audit Transparency

Raw score 68 · contributes 12.2 to total.

68 against a 47 category average

Weakest category

FRIA Support

Raw score 35 · contributes 5.3 to total.

35 against a 32 category average

§ 04 - Cited evidence

Download diligence record→

§ Evidence

Cited per category

Every score is backed by at least one cited piece of evidence.

Evidence ledger

Items
18
Documentation
10
Audit report
3
Public statement
1
Absence
4
With a source URL
14 of 18
Source hostnames
5
Fewest items
2
FRIA Support

These figures measure how thoroughly HackerRank was reviewed, not how HackerRank performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

3 items60
  • DocumentationCaptured Jun 7, 2026

    Responsible AI page sets out four pillars and an explicit interpretability statement that HackerRank chooses simpler, explainable algorithms to identify which signals drive predictions.

    https://www.hackerrank.com/about-us/responsible-ai

  • DocumentationCaptured Jun 7, 2026

    Technical blog describing the ML plagiarism model's signal categories, ~3x-vs-MOSS accuracy claim, and that flagged code receives mandatory human review rather than auto-rejection.

    https://www.hackerrank.com/blog/how-plagiarism-detection-works-at-hackerrank/

  • AbsenceCaptured Jun 7, 2026

    No published model cards or formal Article 11-style technical documentation pack were found; ISO 42001 could not be independently verified because the trust portals (SafeBase/Sprinto) block automated retrieval.

    Have a URL that disputes this?→

Bias Audit Transparency

3 items68

FRIA Support

2 items35

Data Governance Disclosure

2 items55
  • DocumentationCaptured Jun 7, 2026

    Public trust page states HackerRank/AWS compliance with ISO 27001, SOC 1/SOC 2/SSAE 16, and GDPR, with role-based access and data access/disclosure controls.

    https://www.hackerrank.com/trust/

  • AbsenceCaptured Jun 7, 2026

    SOC 2 Type II, ISO 27001, ISO 42001, DPA, and subprocessor documents are gated behind the security.hackerrank.com / Sprinto trust portals, which returned HTTP 403 to automated fetching and could not be independently verified.

    Have a URL that disputes this?→

Human Oversight Design

2 items60

Post-Market Monitoring

3 items45

Customer Documentation

3 items62

§ 05 - Editorial notes

Company overview

HackerRank, Inc. (originally InterviewStreet) was founded in 2009 by Vivek Ravisankar and Hari Karunanidhi, is headquartered in the United States (Mountain View, California) with major R&D operations in Bengaluru, India, and sells primarily to enterprise engineering organizations. Its core product is technical skills assessment for developer hiring (coding tests, Screen, and live Interview), and it has layered in AI capabilities including a machine-learning plagiarism/AI-code-detection engine, an AI image-analysis proctoring system, and AI-assisted question generation and interviewing (Chakra).

Regulatory exposure

HackerRank's AI plagiarism detection and image-analysis proctoring can qualify as Automated Employment Decision Tools under NYC Local Law 144 and as high-risk AI under the EU AI Act when used to screen developer candidates, placing it squarely in scope for bias-audit, transparency, human-oversight, and (for EU deployers) FRIA obligations. The company has published NYC LL 144 bias-audit summaries (BABL AI, 2024) and a Responsible AI policy, and designs its AI tools default-off with candidate-consent prompts, but its formal regulatory FAQ addresses only NYC LL 144 and GDPR and is silent on the EU AI Act, Illinois, and Colorado.

Path to a higher score

HackerRank could raise its score by publishing the full BABL AI audit reports (not just summaries) and demonstrating consecutive yearly audits, adding explicit EU AI Act deployer guidance and a FRIA-support template, publicly confirming ISO 42001 / AI-management-system certification with downloadable evidence, releasing model cards or an Article 11-style technical documentation pack for the plagiarism and image-analysis models, and ungating its data-governance and DPA documentation so deployers can self-serve compliance evidence.

§ Regulatory frame

What applies to assessment ai.

Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.

Keep reading

All assessment vendors→How this score is built→Annex IV section-by-section: what AI hiring vendors must document→What makes a defensible NYC LL 144 bias audit→

§ Compare

Build any comparison→

HackerRank against its nearest-scoring peers.

In Assessment AI.

§ Others rated in Assessment AI

All assessment vendors→

Ranked 11 of 49 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.

  1. 08Cornerstone OnDemand56F
  2. 09iMocha56F
  3. 10Pymetrics (Harver Games)56F
  4. 11HackerRankThis profile55F
  5. 12Plum54F
  6. 13Metaview54F

Conflicts of interest

No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.

Casework has no commercial relationship with this vendor.