Codeaid

Codeaid is designed for companies hiring or upskilling machine learning engineers, data scientists, and AI developers. It provides domain-specific coding tests and AI-interviewer-generated assessments that run in realistic environments such as JupyterLite notebooks or GPU-powered containers. Submitted work is analyzed to produce structured evaluation reports covering code quality, model performance, problem-solving approach, and engineering decisions. The page states that the platform supports screening candidates at any time without scheduling live technical interviews, and that it offers a free trial.

Key features

• Domain-specific AI assessments across Traditional ML, Deep Learning, Generative AI, and NLP & Computer Vision
• AI Interviewer for creating tailored assessments and defining questions and difficulty levels
• Test types including multiple choice, open-ended questions, and coding tasks
• Messy, real-world datasets intended to be too large or complex to be solved by AI tools
• Test Room: simulated environment using JupyterLite or GPU-powered containers
• Automated, real-time evaluation with structured and comprehensive reports
• Assessments that can incorporate frameworks such as LangChain and AutoGen
• Candidate invitations with deadlines, completable on the test taker's own schedule
• Auto-scoring on model accuracy and code quality

Best suited for

• Companies hiring machine learning engineers
• AI startups and product teams hiring AI engineers
• Teams upskilling existing software engineers into ML roles
• Technology companies standardizing AI hiring across teams
• Recruiting agencies pre-screening AI and ML candidates

Pricing

Not stated on the website