The race for AI skills is on. The challenge is, how do you measure candidates’ AI skills in such a complex and fast-moving field? CodeSignal’s new AI Collection solves this challenge with the industry’s first Certified Assessments for measuring AI skills across technical, business, and research roles.
Why AI skills assessments matter now
Recent advancements in AI are reshaping job requirements for a wide range of roles—from software developers, to content writers, to customer support managers and more. Building skills in AI, whether it’s prompt engineering, model selection, or more advanced AI uses, is no longer optional.
“More than 40% of workers will need to reskill in the next three years due to AI and automation, according to the World Economic Forum,” said Tigran Sloyan, CEO and Co-Founder of CodeSignal. “The AI Collection gives organizations a precise and scalable way to assess and develop those capabilities, whether they’re hiring for new roles or investing in the growth of their existing teams.”
Introducing the AI Collection: Three ways to measure AI talent
CodeSignal’s AI Collection helps organizations hire and upskill talent with three new assessments that simulate how employees use AI on the job:
1. AI Literacy Assessment
- Who it’s for: Business professionals, non-technical teams, and anyone who needs basic AI fluency.
- What it evaluates: This assessment measures how candidates navigate interactive simulations, like choosing an appropriate AI model for a task or writing prompts to analyze business expenses.
2. Prompt Engineering Assessment
- Who it’s for: Developers, content creators, and anyone else working with LLMs.
- What it evaluates: Hands-on ability to craft and refine prompts, such as generating structured HTML or iterating to improve output quality.
3. AI Researcher Assessment
- Who it’s for: Machine learning (ML) engineers, ML researchers, and advanced AI talent.
- What it evaluates: Candidates’ ability to translate ML research into functional code and demonstrate deep understanding of the math informing the AI model.
Why this changes the game
Traditional hiring methods struggle to accurately measure AI skills. Resumes can’t show whether a candidate can write effective prompts for LLMs, and interviews often miss the mark on technical depth for AI researchers.
With CodeSignal’s AI Collection, companies can:
✅ Assess real-world skills, not just theoretical knowledge of AI.
✅ Scale hiring and upskilling with research-backed AI skills assessments.
✅ Future-proof their workforce by pinpointing specific AI skill gaps and growth opportunities.
Take the next step
AI isn’t coming—it’s already here. With CodeSignal’s AI Collection, you no longer have to guess which candidates have the skills to successfully leverage AI tools in their role. Now, you can measure these skills.
Ready to dive deeper? Check out our video overview of the AI Collection, or schedule a call with one of our experts.