Senior Computer Vision MLE - AI Trainer

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: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.