AI Skills Assessments
Build AI-ready teams
Assess AI skills company-wide
See how candidates and employees work with AI in role-relevant scenarios.
-
Realistic AI simulations
Measure AI skills through simulations that mirror real work, including AI chat, AI-assisted coding, and scenario-based tasks.
-
AI skills across all levels
Assess everything from foundational AI literacy to advanced capabilities like model development and fine-tuning.
-
Flexible LLM support
Choose which large language models power your assessments to meet internal security, compliance, and governance requirements.
-
Built on talent science
Trust assessments designed by AI experts, validated by I-O Psychologists, and informed by over 13 million skill evaluations.




Prepare your workforce for what’s next
Use AI skills data to guide hiring, upskill for the future, and stay on top of emerging AI trends.
Hire with confidence
Identify candidates who can work effectively with AI today and adapt as tools and expectations evolve.
Stay ahead of change
Align AI skill requirements with changing tools and industry expectations using expert-maintained assessments.
Scale AI readiness
Upskill your workforce
See where AI skill gaps exist across teams and validate progress as employees build and apply new capabilities.
Close the AI skills gap
Stay aligned with how AI is changing everyday work with AI skills assessments from CodeSignal.
of CEOs and CHROs say AI is now the most in-demand skill
of companies have roles that require AI skills
of leaders say their workforce isn’t ready to fully leverage AI
of companies using skills-based hiring have fewer mis-hires
Assess AI skills across roles and use cases
From general AI literacy to advanced AI development, CodeSignal supports the full spectrum of AI skills.
Skills
Question Types
Roles
- GenAI capability awareness
- GenAI proficiency & use
- GenAI limitation awareness
- Prompt design & development
- Prompt testing & iteration
- Task analysis & outcome definition
- Advanced prompting techniques
- Feature engineering
- Machine learning model development
- Model deployment processes
- Deep learning & neural networks
- Model validation & selection
- Text data collection & preparation
- Feature engineering & text representation
- Machine learning modeling for NLP
- NLP model evaluation & optimization
- Linguistics & semantics
- Deep learning for NLP
- RAG for large language models
- Text representation
- Vector database integration
- Tool integration & action execution
- Multi-agent systems & coordination
- Prompt engineering & optimization
- Agent testing & evaluation
- Autonomous workflow automation
- AI safety & alignment
- Advanced mathematics & AI algorithms
- Written
- Conversation
- Coding
- Prompting
- AI-assisted coding
- AI/ML Researchers
- Engineers
- Sales professionals
- Marketing professionals
- Finance professionals
- Operations professionals
Popular AI skills assessments
Get started with ready-to-use assessments aligned to today’s most in-demand AI skills.
AI Literacy Assessment
Evaluates AI literacy across roles by measuring understanding of AI strengths, limitations, and common business use cases.
Prompt Engineering Assessment
Assesses the ability to design, test, and refine prompts through structured tasks focused on task analysis, prompt testing, and prompt design.
AI Researcher Assessment
Measures the ability to implement complex AI algorithms without relying on standard machine learning libraries like sklearn or pytorch.
Applied AI Assessment
Evaluates the ability to improve an LLM-driven natural-language–to–data workflow through prompt iteration, lightweight evaluation, and clear communication.
AI-Assisted Coding Assessment (Full-Stack)
Assesses collaboration with an AI coding assistant to build and iterate on full-stack features, including APIs, data models, and frontend components.
AI-Assisted Data Science Assessment
Evaluates the ability to explore data, define requirements, build predictive models, and present insights with AI support.
Real teams getting real results
Discover how Instacart, Nextdoor, and other innovators use CodeSignal to hire smarter, learn faster, and grow stronger.
By incorporating CodeSignal into our process and having a large number of folks opt into it, either passive candidates or applicants, we’re able to free up roughly 40 to 60% of our engineers’ time.
Michael Leggett
Tech Recruiter at Outreach
Partnering with CodeSignal has helped us to manage a very high volume of interest from candidates in our process and quickly assess their technical acumen, without using a ton of engineering hours.
Nadia Abouzaid
Head of Diversity Talent Programs at Asana
CodeSignal’s experiential learning platform fast-tracks skill mastery beyond what’s possible with traditional methods. It’s next-gen AI learning done right.
Josh Bersin
Josh Bersin Company
Works with what you use
Talk to sales
Ready to assess AI skills across your org?
Explore more
See how CodeSignal helps teams assess, build, and grow skills across the organization.
GenAI Skills Academy
Develop GenAI skills across professional and technical roles through hands-on, role-aligned learning tracks.
Technical Assessments
See how candidates apply their technical skills in realistic, job-relevant scenarios.
Technical Courses
Build technical skills through hands-on practice, with instant feedback that supports learning on the job.
Frequently asked
questions
What are AI skills assessments
What AI skills can CodeSignal assess?
How do AI skills assessments work?
Candidates complete hands-on tasks that mirror real work, including AI chat interactions, prompt design challenges, AI-assisted coding exercises, and scenario-based problem solving. Results show proficiency levels across specific AI competencies.
Which LLMs power the assessments?
CodeSignal offers flexible LLM support so you can select which large language models power your assessments based on your internal security, compliance, and governance requirements.
How long do AI skills assessments take?
Assessment length varies by depth and role. AI literacy assessments typically take 20–30 minutes, while more advanced technical assessments may take 60–90 minutes. Each assessment is designed to balance thoroughness with candidate experience.