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Codeaid

by Codeaid · Since 2022
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ActiveAvailable globallyCloudFree tier
Quick facts
VendorCodeaid
Year launched2022
StatusActive
LocationMarlborough, Massachusetts USA
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierYES
Free trialYES
Contact salesNO
Last reviewed: Jun 2026

About Codeaid

Codeaid is an AI-powered pre-employment testing platform designed to evaluate machine learning and AI engineering talent through real-world workflows. It provides domain-specific assessments across deep learning, generative AI, NLP, and computer vision, auto-scored on model accuracy and code quality.

Codeaid is a specialized pre-employment testing platform built specifically for evaluating machine learning and AI engineering talent. Unlike generic coding platforms that rely on algorithm puzzles, Codeaid focuses on real-world AI workflows, including deep learning, generative AI, NLP, and computer vision. The platform provides a realistic 'Test Room' environment featuring JupyterLite notebooks and GPU-powered containers, ensuring candidates are assessed on their ability to build training pipelines, debug models, and optimize inference performance. A standout capability is the use of non-copyable, session-specific datasets that prevent candidates from using external AI tools to cheat, ensuring that evaluation results reflect genuine technical ability. The platform automates the entire pipeline—from assessment generation to instant, objective grading—providing hiring teams with detailed reports on model accuracy, code quality, and problem-solving logic. Codeaid offers tiered pricing, including a team plan and an enterprise option, and integrates with major ATS providers like Greenhouse and Lever. It is an ideal solution for technical teams looking to remove bias and manual effort from their AI hiring process.

Pros & Cons

Pros
  • Assessments are specifically designed for ML and AI engineering rather than generic software development.
  • The platform uses non-copyable datasets to prevent AI-assisted cheating during tests.
  • Automated grading provides instant, objective feedback on model accuracy and code quality.
  • Candidates work in realistic environments like JupyterLite notebooks and GPU containers.
  • Integration with major ATS platforms streamlines the recruitment workflow.
Cons
  • The platform is highly specialized for AI/ML roles and may not be suitable for general software engineering assessments.
  • Lacks public API documentation, limiting self-service options for custom integrations

Features

Key features

AI-Powered Assessment Generation

Automatically creates tailored assessments based on specific roles, seniority levels, and ML/AI focus areas.

Real-World Environment

Provides test takers with interactive JupyterLite notebooks and GPU-powered containers to mirror actual on-the-job execution.

Automated Evaluation

Instantly scores submissions on model accuracy, code quality, inference efficiency, and problem-solving approach.

Non-Copyable Datasets

Injects unique, large-scale datasets per session that cannot be exported or copied into external AI tools.

Objective Skill Ranking

Generates structured reports that rank candidates based on consistent, unbiased criteria across multiple technical dimensions.

Additional features

Custom Assessment Templates

Allows users to choose from expert-designed interview templates or generate custom ones from scratch.

Multi-Domain Coverage

Supports assessments for traditional machine learning, deep learning, generative AI, NLP, and computer vision.

Inference Latency Monitoring

Measures the latency and throughput of models to ensure they meet production-critical performance standards.

Explainability Scoring

Evaluates candidates on their ability to produce SHAP values, feature importance plots, and attention visualizations.

Reproducibility Tracking

Assesses whether candidates use deterministic operations and documented hyperparameters to ensure consistent results.

Custom Dataset Upload

Enables companies to upload proprietary datasets to evaluate candidates on domain-specific tasks.

Candidate Ranking Dashboard

Collects all test results in a centralized view for quick comparison and shortlist generation.

Integration Support

Offers native integrations with ATS platforms like Greenhouse, Lever, and SmartRecruiters.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Monthly plans

Team
USD 99/mo
per user · billed monthly
  • 5 users
  • 20 candidate invites per month
  • Unlimited active openings
  • 75 questions per interview
Source: vendor pricing page →
Enterprise
USD 399/mo
flat rate · billed monthly

Starting price for unlimited users and features.

Source: vendor pricing page →

Countries & Languages

Global
Countries served
1
Interface languages
9
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇮🇳INR🇷🇺RUB

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