Mercor is seeking a Computer Vision MLE to benchmark baseline model performance, evaluate accuracy, and assess data quality. The ideal candidate has 5+ years of experience in computer vision and ML engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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.
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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.
- 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.
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- Hourly contractor
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
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