Remote IT Support Specialist for AI Training (Tier 2/3)

SaidGig; New York (NY); Remote; USD 41,000 - 76,000; Full time

Job summary

SaidGig is seeking a remote contract Tier 2/3 IT support specialist to train next-generation AI systems through detailed, real-world troubleshooting input. You will diagnose hardware, software, and networking issues and document effective solutions.

You will support Windows, macOS, and Linux environments, record steps and resolutions in a ticketing system, and share insights to improve support workflows and training data quality.

Qualifications

• Minimum 3 years of proven Tier 2/3 IT support experience.
• Strong hardware and software troubleshooting across platforms.
• Working knowledge of networking including TCP/IP, VPN, DNS.
• Proficiency with ticket management systems and documentation.
• Excellent written and verbal communication with user-friendly explanations.
• Ability to work independently and prioritize tasks for projects.

Responsibilities

• Diagnose and resolve hardware, software, and networking issues.
• Support Windows, macOS, and Linux environments including connectivity.
• Record troubleshooting steps, resolutions, and interactions in a ticket system.
• Provide detailed process insights to improve support workflows and data quality.
• Collaborate asynchronously and explain technical concepts clearly in writing.
• Identify recurring patterns and recommend process improvements.

Skills

Tier 2/3 support

Hardware troubleshooting

Software troubleshooting

Networking basics

Documentation

Communication

Education

CompTIA A+

Network+

ITIL (advantageous)

Tools

Ticket management systems

Job description

SaidGig is seeking a remote contract Tier 2/3 IT support specialist to train next-generation AI systems through detailed, real-world troubleshooting input. You will diagnose hardware, software, and networking issues and document effective solutions.

You will support Windows, macOS, and Linux environments, record steps and resolutions in a ticketing system, and share insights to improve support workflows and training data quality.