About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computer Vision MLE Type: Contract Compensation: $135/hour Location: Remote Duration: 3–4 weeks Commitment: 20+ hours/week
Role Responsibilities
- Benchmark baseline model performance on a representative image sample.
- Measure accuracy against a held-out set and assess data quality.
- Evaluate the realistic performance ceiling of the computer vision system.
- Translate findings into a decision-grade report for a non-technical executive audience.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications Must-Have
- 5+ years in computer vision and ML engineering.
- Experience classifying or grading physical objects from images.
- Strong evaluation discipline in representative sampling and accuracy benchmarking.
- Ability to assess feasibility and communicate clearly to a non-technical audience.
Preferred
- Experience with authentication, counterfeit, or anomaly detection.
- Exposure to private equity diligence or time-boxed advisory work.
- Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment.
Compensation & Legal
Hourly contractor
Application Process (Takes 20–30 mins to complete)
Originally posted on Himalayas
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Computer Vision Engineer - Fully Remote | Upto $135/hr Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
