LLM Evaluation
Human evaluation of model outputs at production quality.
Side-by-side comparisons, rubric scoring, factuality audits, and benchmark creation, run by your trusted evaluators inside Worqgrid Studio.
Side-by-side preference
Show two model outputs and capture pairwise preferences with notes. Worqgrid handles randomization, blinding, and tie-handling.
Rubric scoring
Score model outputs across multiple axes, factuality, helpfulness, tone, formatting, with custom Likert or rubric scales.
Factuality & hallucination audits
Have evaluators mark each claim as supported, unsupported, or fabricated, with optional source links and severity ratings.
Benchmark creation
Build versioned, private eval sets curated by your domain experts. Run them against any model with a one-click rerun.
Why teams choose Worqgrid for evaluation
Your evaluators, your IP
Bring the domain experts you already trust. Outputs and prompts never leave your tenant.
Live IAA monitoring
Inter-annotator agreement is computed in real time so calibration drift surfaces fast.
Pay globally
Reward evaluators directly, anywhere in the world, no payroll layer, no platform skim.