Cangrade, a leading AI-based predictor of job candidate success and retention, is proud to announce the launch of its new, one-of-a-kind Prompt Engineering Skills Test to help organizations hire their workforce of the future.
With the rocketing adoption of AI solutions like ChatGPT in the workplace, employers are seeking candidates with bleeding-edge skills – including identifying candidates with prompt engineering skills and filling new Prompt Engineer roles. Cangrade’s innovative Prompt Engineering Skills Test pinpoints the candidates with the skillset these employers need to fill these pioneering roles.
“We are very excited to be the first assessment provider to offer this to our prospective and current customers. With the rapid rise of Generative AI, validating that candidates have the prompt engineering skills they advertise is difficult. Our new Prompt Engineering Skills Test paired with our signature soft skills assessment ensures companies hire candidates who will succeed now and into the future,” shared Cangrade’s Founder and CEO, Gershon Goren.
Cangrade’s Prompt Engineering Skills Test removes the burden of assessing this state-of-the-art skill from hiring teams. The assessment can be assigned manually or automatically to job candidates, making it easy to integrate into companies’ hiring processes. It automatically scores candidates on their ability to generate a series of prompts that yield the desired response from Generative AI. Recruiters and hiring teams then receive a report with an easy-to-interpret score and details about candidate responses so they make the right hiring decisions.
“Hiring the workforce of the future starts now. Prompt engineering skills will be imperative to the success of most employees as will having the right soft skills profile,” said Goren. “As these skills rise in importance, HR teams need the tools to predict candidate success and retention accurately. Cangrade is proud to offer these teams the most accurate method of predicting candidates’ future success with our library of assessments.”
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