Pillar page · LLM eval 2026
LLM evaluation scorecard (2026)
Move from vibe checks to observable criteria: reasoning, prompt design, evaluation discipline, and what “good” looks like in production—not just demo polish.
Signal over storytelling
LLM roles need explicit dimensions—latency, safety, eval harnesses, human-in-the-loop—otherwise panels overweight charisma. Scorecards keep debriefs honest.
Sample scorecard dimensions (1–4 scale)
Adapt weights to your role. Use 3+ as pass for mid-level IC; seniors should trend toward 4 on at least two dimensions.
| Dimension | 1 — weak | 3 — pass | 4 — strong |
|---|---|---|---|
| Problem framing | Jumps to prompts; no success metrics | Clarifies intent, constraints, eval plan | Separates product policy from model limits |
| Prompt & tool design | Unstructured prompts; no schemas | Roles, examples, output formats | Regression strategy + tool boundaries |
| Safety & abuse | Ignores injection/PII | Names risks for your surface | Guardrails, logging, human review |
| Production evals | Demo-only; no metrics | Golden sets, latency/cost awareness | Ship-week-one vs defer trade-offs |
| Communication | Hand-wavy debrief | Clear panel write-up | Teaches rubric to the room |
Go deeper: Prompt engineering interview rubric · Hire LLM engineers
Frameworks & rubrics
Start with these long-form pieces, then adapt weights to your org.
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See how candidates present proof
Profiles foreground projects and tools; job posts mirror that vocabulary so you hire against the same bar you interview on.
FAQ — LLM evaluation scorecards
A shared rubric so every interviewer scores the same dimensions—framing, prompts, safety, evals, communication—on a 1–4 scale instead of gut feel.
The scorecard is the debrief template for any LLM interview; the rubric is a full playbook with live exercises and FAQ for prompt-heavy roles.
Mid-level: 3+ on framing and prompt craft, no 1 on safety. Seniors: at least two dimensions at 4 with a clear production eval story.
Yes—swap prompt dimensions for offline/online metrics and feature ownership, but keep safety and communication rows for any customer-facing AI role.
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