Screening — Nina Chen
Senior Backend Engineer · stage screening · fit 77/100
Screening processⓘ
No screening attached yet
Screening assesses a candidate before interview. Pick the instrument that fits — async AI methods invite the candidate and score against the role rubric; a CV screen assesses from the fit model with no candidate action; a phone screen is a live call the recruiter conducts and logs. In every case the AI recommends and you make the final call.
Candidate records spoken answers on their own time. AI transcribes, scores each answer and flags integrity concerns (synthetic/AI-generated answers, spoofing).
Candidate types answers to competency questions. AI scores each response against the rubric — fastest, best for knockout and structured prompts.
No candidate action. AI scores the resume against the role rubric from the explainable fit model — the usual first gate before a deeper screen.
A live call the recruiter conducts and logs (notes + rating). Best when a conversation beats an async format — culture, motivation, logistics.
Screening is attached while the candidate is at Applied — they're now at screening, so a recruiter decision applies.