IT Support Troubleshooting Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and grow their experience in this rapidly developing field.

• Remote contractor opportunity
• Flexible, asynchronous scheduling
• Work with a platform focused on careers in AI training and data labeling

About AI Training Work

AI training is the human side of building artificial intelligence. People with real-world expertise prepare examples, review information, and provide structured feedback so AI systems can better understand professional workflows and produce useful results.

In this project, your IT support knowledge will help shape training data through troubleshooting analysis, documentation, process insights, and clear explanations of technical issues.

• Contribute to the development of AI systems using practical IT expertise
• Apply professional judgment to structured support and troubleshooting work
• Build experience in a growing area of technology

The Role

OpenTrain AI is seeking an IT Support Troubleshooting Specialist to support AI training work focused on IT support and troubleshooting. You will work with IT support tickets, troubleshooting documentation, and process insights, using careful review and clear written feedback to help improve AI training data quality.

This opportunity is remote and contractor-based, with asynchronous collaboration and flexible scheduling. The expected time commitment is 20 or more hours per week.

• Compensation: $30–$55 per hour
• Engagement: Part-time contractor
• Schedule: Flexible and asynchronous
• Location: Worldwide
• Primary language: English

What You'll Do

You will diagnose technical issues, explain your reasoning, and document reliable solutions in a way that is useful to both support teams and AI training workflows. The work combines advanced troubleshooting judgment with strong communication and process awareness.

• Diagnose hardware, software, operating system, and networking issues
• Troubleshoot across Windows, macOS, and Linux environments
• Document troubleshooting steps, solutions, and user interactions in ticket management systems
• Identify recurring support patterns and contribute process insights
• Recommend workflow improvements that strengthen support processes and AI training data quality
• Communicate technical concepts clearly through written and verbal channels

Requirements

This role is intended for someone with substantial hands-on IT support experience and advanced incident-handling judgment. Prior AI training experience is not required; strong real-world knowledge of IT support and troubleshooting is the most important qualification.

• At least three years of Tier 2 or Tier 3 IT support experience
• Advanced incident handling and troubleshooting judgment
• Strong knowledge of TCP/IP, VPN, and DNS troubleshooting
• Experience diagnosing hardware and software across Windows, macOS, and Linux
• Proficiency with ticket management systems
• Thorough documentation practices
• Clear written and verbal communication
• Ability to explain technical concepts in a user-friendly way
• Ability to work independently and prioritize tasks
• Ability to follow detailed project instructions
• CompTIA A+, Network+, or ITIL certification is advantageous

Who Should Apply

This opportunity may suit IT support professionals who enjoy diagnosing complex incidents, turning technical reasoning into clear documentation, and improving repeatable support processes. It is also a strong fit for specialists who want to apply their existing expertise to the fast-growing field of AI training without needing prior AI project experience.

• Tier 2 or Tier 3 support specialists
• IT professionals experienced with advanced troubleshooting
• Technical experts comfortable documenting support interactions
• Independent workers who can manage flexible, asynchronous assignments
• Professionals interested in helping AI systems learn from real-world technical expertise