AI scoring · AI candidate assessment
AI candidate assessment that scores ability, you decide
AI candidate assessment is only trustworthy when you can see why it scored what it did. A black-box number that nobody can explain has no place in a hiring decision. SkillJudge uses AI to score candidates on real, role-matched work against a transparent rubric, then shows its reasoning.
Every candidate returns a scorecard with an overall grade and per-skill sub-scores on a red to amber to green scale, each one linked to the exact evidence in the work behind it. Candidates rank into a shortlist, but the final hiring call is always yours. The AI scores consistently and explainably so your team moves faster, without handing the decision over to a model.
Score real ability · evidence-linked rubric · ranked shortlist
Assessment brief
Candidate submission
evidence ·
Ranked shortlist
Real work in scored scorecard out
AI scores you decide
Why it works
What you get with ai candidate assessment
AI you can audit
Every AI-generated score links to the evidence behind it, so the assessment is transparent and defensible rather than a black box.
Scored on real work
The AI grades a real, role-matched task against a rubric, so the assessment reflects demonstrated ability, not a resume parse.
You keep the decision
The AI scores and ranks, but the hire is yours. SkillJudge speeds the screen without taking the human judgment out of it.
What it handles
Real work in, an evidence-linked scorecard out
Set a role-matched task and SkillJudge scores each submission against a transparent rubric, returning per-skill sub-scores with linked evidence and a ranked shortlist. The AI scores, you make the call.
- Scores candidates on real role tasks with AI
- Grades against a transparent rubric
- Links every score to specific evidence
- Returns scorecards on a red to amber to green scale
- Ranks candidates into a shortlist
- Leaves the final hiring call to your team
evidence · Solved the task cleanly with sound method.
evidence · Mostly thorough; one assumption left untested.
evidence · Missed two boundary conditions in the work.
evidence · Reasoning was clear and easy to follow.
Why SkillJudge
One platform that scores ability and ranks candidates
Not a personality quiz, not a pass-fail black box, and not a resume scan. Real role-matched work, scored against a transparent rubric, returned as an evidence-linked scorecard and a ranked shortlist. The AI scores, you decide.
A transparent rubric
Every candidate is scored against the same rubric you can read, with per-skill sub-scores on a red to amber to green scale, so hiring stays consistent and fair.
Evidence behind every score
Each sub-score links to the exact work that earned it, the test, the answer, the line, so the grade is auditable and your decision is defensible.
A ranked shortlist
Overall grades roll up into a ranked list, so the strongest candidates are already at the top and your team reviews proven ability first.
Good questions
Questions about ai candidate assessment
Explore more
More ways to score candidates with SkillJudge
Software engineer skills assessment
Score engineers on real code against a transparent rubric, then rank them.
Learn moreFrontend developer assessment
Judge frontend candidates on real UI work, accessibility and component quality.
Learn moreData scientist coding assessment
Score data scientists on real analysis, modeling and rigor, with evidence.
Learn moreStop guessing from resumes. Hire on proven ability.
Set a role-matched task and SkillJudge scores every candidate against a transparent rubric, returning an evidence-linked scorecard and a ranked shortlist. The AI scores, you decide.
Engineering, data, sales, support & product · evidence-linked rubric · AI scores, you decide