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Systems Engineer Remote Night Shift Jobs in California

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Sr. Systems Engineer

Mountain View, CA · On-site +1

$190K - $300K/yr

As a Sr. Systems Engineer at Reliable Robotics, you will be a part of the System Development team ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

AI Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Cloud Comp Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a highly skilled AI/ML ...

Field Systems Engineer

Davis, CA · On-site +1

$120K - $140K/yr

The Field Systems Engineer will troubleshoot and resolve any issues that arise while providing ... • Remote flexibility • Flexible time off • Comprehensive benefits package • Career ...

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Showing results 21-40

Systems Engineer Remote Night Shift information

What does a systems engineer do on a remote night shift?

A Systems Engineer working remotely during the night shift is responsible for monitoring, maintaining, and troubleshooting computer systems and networks outside of regular business hours. Their duties often include responding to critical incidents, performing system updates, ensuring network security, and supporting users or clients with urgent technical issues. Working at night helps maintain 24/7 system uptime and can minimize disruptions to daytime business operations. They may also document issues and resolutions for handover to daytime teams.

What are the key skills and qualifications needed to thrive as a systems engineer remote night shift, and why are they important?

To thrive as a Systems Engineer Remote Night Shift, you need a solid background in systems administration, troubleshooting, and network management, typically supported by a degree in computer science or a related field. Familiarity with monitoring tools, ticketing systems, cloud platforms, and relevant certifications like CompTIA, Microsoft, or Cisco is often required. Excellent problem-solving, time management, and clear communication are crucial soft skills for efficiently resolving issues during non-standard hours. These abilities ensure continuous system uptime, rapid incident response, and reliable support for global operations.

What are some unique challenges faced by systems engineers working remote night shifts, and how can they be managed?

Systems Engineers on remote night shifts often encounter challenges such as reduced access to immediate team support, isolated working conditions, and the need to quickly troubleshoot issues during off-peak hours. To manage these, it's important to maintain strong documentation, leverage communication tools for asynchronous updates, and establish clear escalation protocols. Staying connected with team members during shift changes and participating in regular check-ins can also help foster collaboration and ensure smooth operations.

What is the difference between Systems Engineer Remote Night Shift vs Network Engineer Remote Night Shift?

AspectSystems Engineer Remote Night ShiftNetwork Engineer Remote Night Shift
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Juniper JNCIA
Work EnvironmentDesign, implement, and maintain systems and infrastructureConfigure, troubleshoot, and optimize network hardware and connections
Industry UsageIT services, enterprise systems, cloud environmentsTelecommunications, data centers, enterprise networks

Systems Engineers and Network Engineers working remotely night shifts often share certifications and industry environments. Systems Engineers focus on overall system architecture and integration, while Network Engineers specialize in network hardware and connectivity. Both roles require technical skills and are vital in maintaining IT infrastructure during night hours.

What are popular job titles related to Systems Engineer Remote Night Shift jobs in California?

For Systems Engineer Remote Night Shift jobs in California, the most frequently searched job titles are:

What job categories do people searching Systems Engineer Remote Night Shift jobs in California look for?

The top searched job categories for Systems Engineer Remote Night Shift jobs in California are:

Infographic showing various Systems Engineer Remote Night Shift job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Backend Engineer - Remote

YO AI Labs

San Jose, CA • Remote

$80 - $120/hr

Full-time

Posted 9 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.