Computer Vision Engineer - Fully Remote | Upto $135/hr

Darum lohnt es sich

Mercor is placing a senior computer vision engineer on a delivery team for a focused 3-4 week technical assessment engagement, with a strong possibility of extending into a longer build.

Requirements • 5+ years in computer vision and ML engineering, including hands‑on fine‑tuning of modern vision foundation models • Experience classifying or grading physical objects from images (identification, condition or quality scoring, defect detection, or similar) • Strong evaluation discipline: representative sampling, train/eval separation, honest accuracy benchmarking, and calibration • Ability to assess the feasibility and production‑readiness of a computer vision system and communicate the verdict clearly to a non‑technical audience Strong pluses • Experience with authentication, counterfeit, or anomaly detection • Exposure to private equity diligence or other time‑boxed advisory work • Familiarity with imaging hardware and capture pipelines (cameras, lighting) and edge or on‑prem deployment Engagement is remote.

Compensation set by Mercor's talent team. The work is a feasibility assessment of a computer vision system that identifies and grades physical objects from images.

You will benchmark baseline model performance on a representative image sample, measure accuracy against a held-out set, assess data quality and the realistic performance ceiling, and translate the findings into a decision-grade report for a non-technical executive audience.