AI Lab Mentor & Technical Reviewer

The Lawrenceville School; Lawrenceville (GA); On-site; USD 8,900 - 11,000; Part time

Benefits offered by this job

Health insurance

Paid leave

Retirement plan

Job summary

The Lawrenceville School seeks a technically skilled AI Lab Technical Advisor to mentor students, review code, and guide projects from architecture to implementation. You will coordinate with the Director of Student AI Projects and ITS to ensure responsible development and alignment with school systems.

The role is in-person, ~4–6 hours weekly, with a flexible schedule around the academic calendar and student activity. A strong background in software and AI, plus mentoring ability, is essential.

Qualifications

• Bachelor's degree in CS/SE/AI or equivalent experience.
• Minimum 3 years in software development or AI.
• Ability to explain complex concepts to students clearly.
• Experience reviewing code and giving constructive feedback.
• Familiarity with data privacy and security considerations.

Responsibilities

• Provide technical guidance and mentorship to students on AI Lab projects.
• Establish development protocols, documentation, testing, and reviews.
• Oversee GitLab repository structure, access, and workflows.
• Review active projects, troubleshoot, and escalate where needed.
• Coordinate with ITS and Director for infrastructure, privacy, and security.
• Assist with assessing feasibility and scope of student projects.
• Periodically review equipment and environments in Bunn Library.

Skills

Software development

Artificial Intelligence

Mentoring

Communication

Problem-solving

Education

Bachelor's degree in CS/SE/AI

Tools

GitLab

Git-based version control

Job description

The Lawrenceville School seeks a technically skilled AI Lab Technical Advisor to mentor students, review code, and guide projects from architecture to implementation. You will coordinate with the Director of Student AI Projects and ITS to ensure responsible development and alignment with school systems.

The role is in-person, ~4–6 hours weekly, with a flexible schedule around the academic calendar and student activity. A strong background in software and AI, plus mentoring ability, is essential.