Computer Vision MLE - Senior

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Computer-Vision-Engineering, Machine-Learning-Engineering, Computer-Vision, Machine-Learning, Computer-Vision-MLE, Senior-Machine-Learning, Senior-ML-Engineering, Senior-AI-Vision-Researcher, Computer-Vision-and-Machine-Learning-Engineer, Senior-ML-Engineer
Tech
remote-countrysenior
Source
himalayas
First observed
2026-08-25 23:17 UTC
Last seen
2026-08-25 23:17 UTC
Source claims posted
2026-08-25 20:32 UTC
Consecutive misses
0 of 10

What the posting says

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)

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Resources & Support

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Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #369955 2026-08-25 23:17 UTC
    Published