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Mercor

Systems Engineer - Fully Remote

Mercor

Remote · Sözleşme

Başvuran ilk kişi siz olun

Deneyim
2+ yıl
Maaş
85 ABD Doları – 85 ABD Doları / saat
Açılışlar
1
Yayınlandı
1 hafta önce
Çalışma modu
Evden çalışma
Uygunluk
Professionals with at least 2 years of systems engineering experience and practical familiarity with AI coding agents are encouraged to apply.
Sürdürmek
Başvuru yapılması gerekmektedir.

İş tanımı

About the Role

Mercor matches highly skilled creative and technical professionals with top AI research laboratories. The company is based in San Francisco and counts Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey among its investors.

Position Overview

This opportunity is for a Systems Engineer focused on coding-agent workflows. The work is remote and contract-based.

Compensation

Pay is set at $85 per hour. In addition, compensation is linked to accepted tasks, with $400 paid for each accepted task.

Key Responsibilities

  • Leverage advanced AI coding agents to solve and assess challenging engineering work.
  • Examine code, architecture choices, and system-level implementations produced by models.
  • Spot defects, unusual edge cases, scaling limits, and possible failure points.
  • Review and contrast outputs from multiple frontier models to understand where each performs well or poorly.
  • Use sound engineering judgment in practical systems-engineering situations.
  • Work on your own, asynchronously, and deliver within deadlines while helping improve model quality.

Required Qualifications

  • At least 2 years of hands-on professional experience in systems engineering.
  • Background in distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals.
  • Frequent use of AI coding assistants such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Capability to assess model-produced system designs and implementations.

Preferred Background

  • Experience creating systems that are highly scalable and sensitive to performance.

Application Process

  • Upload your resume.
  • Complete an AI interview based on your resume.
  • Submit the application form.

Support Information

If you need help during the process, support is available by email.

Additional Information

The review team checks applications every day. To be considered, you must finish both the AI interview and the rest of the application steps.

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