Computer Vision Engineer - Fully Remote | Upto $135/hr

mercor; San Francisco (CA); Hybrid; GBP 119,000 - 162,000; Full time

Job summary

Mercor seeks a Computer Vision MLE for a remote contract to benchmark and improve AI model performance over a 3–4 week window. The role focuses on evaluating baselines, communicating results to non-technical executives, and delivering action-ready insights. Expect ~20+ hours/week at $135/hour, with flexible remote work and a compact project timeline.

Qualifications

• 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.

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.

Skills

CV/ML Engineering

Image classification

Evaluation discipline

Communication to non-technical

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.

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