Contingent Role | Remote | $135 per hour
Location: Remote
Description
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. 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.
What we are looking for:
- 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.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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