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.
Automatically creates tailored assessments based on specific roles, seniority levels, and ML/AI focus areas.
Provides test takers with interactive JupyterLite notebooks and GPU-powered containers to mirror actual on-the-job execution.
Instantly scores submissions on model accuracy, code quality, inference efficiency, and problem-solving approach.
Injects unique, large-scale datasets per session that cannot be exported or copied into external AI tools.
Generates structured reports that rank candidates based on consistent, unbiased criteria across multiple technical dimensions.
Allows users to choose from expert-designed interview templates or generate custom ones from scratch.
Supports assessments for traditional machine learning, deep learning, generative AI, NLP, and computer vision.
Measures the latency and throughput of models to ensure they meet production-critical performance standards.
Evaluates candidates on their ability to produce SHAP values, feature importance plots, and attention visualizations.
Assesses whether candidates use deterministic operations and documented hyperparameters to ensure consistent results.
Enables companies to upload proprietary datasets to evaluate candidates on domain-specific tasks.
Collects all test results in a centralized view for quick comparison and shortlist generation.
Offers native integrations with ATS platforms like Greenhouse, Lever, and SmartRecruiters.
Starting price for unlimited users and features.
Source: vendor pricing page →Be the first to drop a review
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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.
Does Codeaid have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Starting price for unlimited users and features.
Source: vendor pricing page →USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹), RUB (₽)
Email Address
contact@codeaid.ioContact
+1 (774) 234-6476GO Platform is a software platform from GO Platform that provides a comprehensive solution for…
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