Mentors — UpSkillZone
Calibrated AI engineers grade every Job Twin.
Every mentor here has passed onboarding-kit grading and an inter-rater reliability check against the panel reference rubric (JOB_TWIN_2_EVALS §10.5). Cohen’s kappa is recomputed quarterly against a shared benchmark set; the floor for the public directory is 0.7. Mentors below the floor are auto-paused for re-calibration and excluded from this page until they recover.
Active mentors
0
Status active and at or above the 0.7 kappa floor.
Median kappa
—
Cohen's κ vs. the panel reference rubric.
Reviews shipped
0
Sum of total_reviews across the public roster.
Mentor roster
Sourced from GET /api/v1/mentors. κ is colour-coded: green ≥ 0.85, brand ≥ 0.7, red below 0.7. Each row links to the mentor’s public profile at /m/{user_id}.
No public mentor profiles yet. The active mentor pool is small by design.
For mentors
Apply to the network →
Onboarding kit, calibration drill, and the IRR check before you grade live work.
For mentors
Compensation →
Per-review pay table by region, dispute pay, and the settlement cadence (JOB_TWIN_2_EVALS §8.3).
Methodology
Calibration methodology →
How Cohen’s kappa is computed, the 0.7 floor, and the quarterly re-calibration cadence.
Public directory · backed by /api/v1/mentors · profiles at /m/{user_id}.