Computer Vision MLE - Senior
TypeFull-time job
LocationGermany
Posted2 hours ago
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)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.