AI Tutor - Software Engineering

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

• Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages.

• Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability.

• Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.

BASIC QUALIFICATIONS:

• Professional software engineering experience building scalable, high-performance applications.

• Deep expertise in one or more programming languages.

• Strong proficiency in relevant frameworks and libraries.

• Solid understanding of software design principles, performance optimization, and best practices.

• Experience implementing quality standards, including accessibility, security, and reliability where applicable.

• Strong debugging and profiling skills using development tools and performance monitoring.

• Hands-on experience with testing frameworks and tools relevant to your domain.

PREFERRED SKILLS AND EXPERIENCE:

• The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment.

• Experience integrating analytics, monitoring, and security best practices relevant to your technical domain.

• Experience with containerization technologies (e.g., Docker).

• Knowledge of complementary technologies (e.g., backend systems, APIs, databases, authentication) to enable effective cross-functional collaboration.

LOCATION AND OTHER EXPECTATIONS:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

COMPENSATION AND BENEFITS:

US based candidates: $40/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .