Role Overview
Xai is hiring a entry-level Onboarding & Training Specialist. This is a full-time role in Palo Alto. Part of Xai's Lifecycle hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Entry-level Lifecycle roles is $65k-$80k (based on 18 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We are looking for a detail-oriented, high-ownership AI Tutor Onboarding & Training Specialist to join the SpaceXAI Human Data team. This role will ensure that every new AI Tutor receives a seamless, high-quality onboarding experience and continues to develop into a top-performing contributor. You will own the full lifecycle of tutor readiness from offer acceptance through initial training, orientation, and ongoing skill development so the Human Data team can scale rapidly while maintaining excellence.
RESPONSIBILITIES:
- Own the end-to-end onboarding experience for all new AI Tutors from the moment an offer is accepted
- Design, schedule, and deliver initial orientation and foundational training programs for AI Tutors
- Ensure seamless day-one readiness by coordinating equipment, system access, and login permissions prior to start
- Evaluate, create, and continuously improve training materials, playbooks, and resources based on feedback from tutors, managers, and evolving program needs to accelerate tutor ramp-up, quality, and continuous development
- Partner with Human Data leads and subject-matter experts to identify skill gaps and deliver targeted continuous development
- Track tutor progress through onboarding and early performance milestones, including training completion and related system access or readiness status, and proactively flag and resolve blockers
- Serve as the primary point of contact for new tutors, providing timely, high-quality support and guidance
- Coordinate with internal stakeholders (recruiting, operations, quality, and program leads) on tutor readiness status and capacity planning
- Participate in hiring events and interviews as needed
- Manage communications and announcements to the tutor population
BASIC QUALIFICATIONS:
- Bachelor’s degree
- 1+ years of professional experience in onboarding, training, learning & development, human resources, customer success, or a related people-facing role
PREFERRED SKILLS AND EXPERIENCE:
- Direct experience onboarding or training contractors, contingent workers, or specialized talent (especially in AI, data labeling, content moderation, or similar high-volume quality programs)
- Experience designing and facilitating live or asynchronous training sessions
- Strong organizational, multi-tasking, and prioritization skills in a fast-moving environment
- Excellent written and verbal communication skills with the ability to explain complex processes simply
- High sense of urgency, ownership, and attention to detail
- Comfort working with tracking systems, spreadsheets, and basic learning tools
- Familiarity with AI/ML data collection or human feedback workflows is a plus
ADDITIONAL REQUIREMENTS:
- Preference for candidates based in or willing to relocate to the Palo Alto, CA area; remote work is also possible
- Position occasionally requires the ability to work overtime and weekends when needed
COMPENSATION AND BENEFITS:
Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. 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.
SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
About Xai
Frequently Asked Questions
How do I apply for the Onboarding & Training Specialist position at Xai?
Use the Apply button above to submit your application directly to Xai. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Onboarding & Training Specialist position at Xai located?
This position is based in Palo Alto. Xai has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Onboarding & Training Specialist at Xai earn?
Xai has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Onboarding & Training Specialist role at Xai posted?
This role was posted on July 21, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Onboarding & Training Specialist role at Xai entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Xai has listed.
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