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Part Time Remote Systems Engineer Jobs in Virginia

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

TAK Developer

Manassas, VA ยท On-site +1

$86K - $198K/yr

Remote Work: Yes Job Number: R0241546 Location: Manassas,VA,US Share job via: Share TAK Developer ... Work with us as we shape systems for the better. Join us. The world can't wait. You Have: * 5+ ...

TAK Developer

Mclean, VA ยท On-site +1

$86K - $198K/yr

Remote Work: Yes Job Number: R0243395 Location: McLean,VA,US Share job via: Share TAK Developer The ... Work with us as we shape systems for the better. Join us. The world can't wait. You Have: * 5+ ...

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Part Time Remote Systems Engineer information

What are the key skills and qualifications needed to thrive as a Part Time Remote Systems Engineer, and why are they important?

To thrive as a Part Time Remote Systems Engineer, you need a solid background in systems administration, network management, and troubleshooting, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), virtualization tools, and relevant certifications (such as CompTIA, Microsoft, or Cisco) is typically required. Excellent self-motivation, time management, and communication skills are crucial for collaborating across distributed teams and managing tasks independently. These capabilities ensure efficient system operations, prompt issue resolution, and strong team integration despite remote work arrangements.

How do part-time remote systems engineers typically coordinate with on-site IT teams to ensure smooth system operations?

Part-time remote systems engineers often use collaboration tools like Slack, Microsoft Teams, or email to stay in regular contact with on-site IT teams. They participate in scheduled meetings, share documentation, and provide real-time support during critical system changes or troubleshooting sessions. While remote, maintaining clear communication and thorough documentation is key to ensuring all team members are aligned and system operations run smoothly. Leveraging remote monitoring tools and adhering to agreed-upon workflows helps bridge the gap between remote and on-site team members.

What is a Part Time Remote Systems Engineer?

A Part Time Remote Systems Engineer is a technology professional who designs, implements, and maintains computer systems, networks, and infrastructure for organizations while working remotely and on a part-time basis. Their responsibilities may include troubleshooting system issues, ensuring network security, managing servers, and supporting cloud environments. Working part time allows for flexible hours, while remote work means tasks are completed from a location outside the traditional office. This role typically requires strong technical skills, problem-solving abilities, and effective communication with team members and clients.
What are the most commonly searched types of Remote Systems Engineer jobs in Virginia? The most popular types of Remote Systems Engineer jobs in Virginia are:
What job categories do people searching Part Time Remote Systems Engineer jobs in Virginia look for? The top searched job categories for Part Time Remote Systems Engineer jobs in Virginia are:
What cities in Virginia are hiring for Part Time Remote Systems Engineer jobs? Cities in Virginia with the most Part Time Remote Systems Engineer job openings:
Software Engineer - AI Coding Expert

Software Engineer - AI Coding Expert

micro1 AI

Virginia Beach, VA โ€ข Remote

$100 - $230/hr

Part-time

Posted 22 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI modelโ€™s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24โ€“48 hours of completing onboarding.