AI Summary
Contract position for a Computer Vision ML Engineer to evaluate AI model performance on image classification tasks. Responsible for benchmarking accuracy, assessing data quality, and creating executive reports on system feasibility. Requires 5+ years of computer vision experience and strong evaluation skills.
Key Highlights
Contract position: 3-4 weeks, 20+ hours/week
$135/hour compensation
Remote work opportunity
Focus on computer vision model evaluation and benchmarking
Key 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
Technical Skills Required
Benefits & Perks
Competitive hourly rate ($135/hour)
Remote work flexibility
Short-term contract commitment (3-4 weeks)
Nice to Have
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
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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- 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: [email protected]
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