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Software Engineering mercor

Software Engineer (Site Reliability Engineer)

Mercor β€’ Remote β€’ Posted 33 days ago

Education

Any

Type

Pay Rate

$130/task

Posted

33d ago

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About this Role

Site Reliability Engineer β€” Production Systems Expert

Mercor is seeking experienced Site Reliability Engineers with deep expertise in production incident response, on-call operations, and infrastructure reliability. In this role, you will apply your real-world experience managing high-availability systems to help evaluate and train AI models that aim to reason about system failures, observability, and operational best practices.

Site Reliability Engineer β€” Production Systems Expert

Site Reliability Engineers

incident response, on-call operations, and infrastructure reliability

You are a good fit if you

United States

Role Start Date

Site Reliability Engineer β€” Production Systems Expert Mercor is seeking experienced Site Reliability Engineers with deep expertise in production incident response, on-call operations, and infrastructure reliability. In this role, you will apply your real-world experience managing high-availability systems to help evaluate and train AI models that aim to reason about system failures, observability, and operational best practices. You will author and review complex, realistic scenarios grounded in production incidents, covering root cause analysis, monitoring and alerting, capacity planning, and post-incident remediation. These tasks will be used to assess how well AI systems can diagnose and resolve infrastructure-level problems. You are a good fit if you: Have 3+ years of experience in SRE, DevOps, or production engineering at big tech company or leading startup Have served in on-call rotations managing Tier 1/Tier 2 production services with meaningful SLA requirements Have hands-on experience with incident response and post-mortem processes, including structured RCA (root cause analysis) Are proficient with observability stacks: Prometheus, Grafana, Datadog, PagerDuty, or equivalent Have deep knowledge of Linux systems, networking (TCP/IP, DNS, load balancing), and container orchestration (Kubernetes, Docker) Have experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines Have strong debugging skills across the stack (application-level tracing to kernel-level diagnostics) Are currently based in the United States Role Start Date This role will begin in late March with the potential for additional openings in April. The project is currently in a pilot phase and participants are expected to be highly engaged with project leadership. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

  • Have 3+ years of experience in SRE, DevOps, or production engineering at big tech company or leading startup
  • Have served in on-call rotations managing Tier 1/Tier 2 production services with meaningful SLA requirements
  • Have hands-on experience with incident response and post-mortem processes, including structured RCA (root cause analysis)
  • Are proficient with observability stacks: Prometheus, Grafana, Datadog, PagerDuty, or equivalent
  • Have deep knowledge of Linux systems, networking (TCP/IP, DNS, load balancing), and container orchestration (Kubernetes, Docker)
  • Have experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines
  • Have strong debugging skills across the stack (application-level tracing to kernel-level diagnostics)
  • Are currently based in the United States
  • This role will begin in late March with the potential for additional openings in April.
  • The project is currently in a pilot phase and participants are expected to be highly engaged with project leadership.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Software Engineering

Compensation Analysis

This role offers a powerful combination of high income ($130/hr) and total flexibility. Unlike traditional contracting, you generally set your own hours. It is an ideal "second stream" of income for professionals who want to stay sharp in their field while gaining exposure to the booming AI industry.

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Frequently Asked Questions

Is this for freelancers or full-time employees?

Both. Mercor tries to match you with clients who want long-term contractors. Unlike other platforms where you log in and grab small tasks, Mercor matches you with one company for a steady role (e.g., 'Python Tutor for 3 months').

I'm not comfortable on camera. Can I still apply?

No. The application requires a video interview with an AI avatar. The AI asks you questions about your resume, and the video is shared with potential clients to prove your communication skills.

Does it cost money to join?

No. You should never pay to join these platforms. Mercor makes money by charging the client a fee on top of your hourly rate.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"β€”the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

How soon will I start?

Important: Mercor is a talent marketplace, not a task queue. Applying puts you in a pool of candidates. You will only start working when a specific client (like a major AI lab) selects your profile. This matching process can take weeks.