Diagnostics and Troubleshooting Domain Expert

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview:We are seeking a detail-oriented Diagnostics / Troubleshooting Specialist with hands-on experience using Task Manager, Event Viewer, msconfig, Device Manager, and Windows Update Troubleshooter to identify, analyze, and resolve system and performance issues. The ideal candidate has strong technical troubleshooting skills, a solid understanding of Windows operating systems, and the ability to diagnose hardware, software, startup, and update-related problems efficiently.

Key Responsibilities

• Train and evaluate LLMs for technical support scenarios involving Windows performance, startup issues, driver problems, update failures, and system errors.
• Create, review, and annotate troubleshooting datasets such as incident logs, support chats, diagnostic steps, and resolution workflows.
• Use Task Manager to model troubleshooting for CPU, memory, disk, and process-related performance issues.
• Analyze system and application logs using Event Viewer to identify error patterns and root causes for AI training tasks.
• Apply msconfig knowledge to guide LLM training on startup behavior, boot issues, and service conflicts.
• Use Device Manager workflows to train models on hardware, driver, and device-related issue resolution.
• Incorporate Windows Update Troubleshooter use cases into model training for patching and update failure scenarios.
• Develop prompts and response guidelines for diagnostic assistants, virtual support agents, and troubleshooting copilots.
• Evaluate AI outputs for technical accuracy, step-by-step clarity, safety, and troubleshooting effectiveness.
• Collaborate with AI, QA, and technical support teams to improve model performance and response quality.
• Maintain documentation, annotation guidelines, and quality standards for troubleshooting-related LLM projects.

Required Qualifications

• Experience in IT support, desktop support, technical troubleshooting, or help desk operations.
• Strong hands-on experience with: Task Manager Event Viewer msconfig Device Manager Windows Update Troubleshooter
• Strong understanding of Windows system diagnostics, performance monitoring, startup troubleshooting, and device management.
• Familiarity with LLMs, AI tools, prompt writing, or annotation/review workflows.
• Excellent written communication skills, especially in explaining technical troubleshooting steps clearly.
• Strong analytical thinking and attention to detail.
• Ability to evaluate responses for technical correctness and completeness.

Preferred Qualifications

• Experience in AI training, data annotation, technical content review, or model evaluation.
• Knowledge of Windows administration, system logs, driver management, and update troubleshooting.
• Experience creating SOPs, troubleshooting playbooks, or knowledge base content.
• Familiarity with support automation, virtual agents, or AI-assisted help desk tools.

Offer Details

• Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: 4 weeks Evaluation Process -
• Shortlisted candidates will be sent a Job Interest Form.
• After the profile review, an assessment will be shared, which must be completed within 48 hours
• Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements