xAI’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.
As a Business Expert - Supply Chain, Procurement & Logistics on the Human Data Team, you will contribute to creating cutting-edge datasets to advance Grok’s capabilities. Collaborating closely with technical staff, you'll support xAI's mission through labeling and annotating data in multiple formats. You will leverage your expertise in supply chain management, procurement strategy, and logistics optimization to support the training of advanced AI systems. This fast-paced role requires adaptability, attention to detail, and the ability to follow evolving instructions to deliver impactful data.
RESPONSIBILITIES:- Work on supply chain, procurement, and logistics problems from real-world business scenarios that align with your expertise, providing accurate solutions, detailed annotations, and model critiques where you can confidently evaluate responses (e.g., strategic sourcing decisions, inventory optimization, logistics network design, supplier risk assessments, and trade compliance scenarios).
- Utilize proprietary software to provide accurate input and labels to deliver high-quality data.
- Collaborate with technical staff to improve the design of efficient annotation tools.
- Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.
- 5+ years of practical supply chain, procurement, or logistics experience (hands-on role in sourcing, inventory, or distribution management).
- Proficiency in procurement and supply chain systems (e.g., SAP Ariba, Coupa, Oracle, Kinaxis, or Blue Yonder) and advanced Excel for cost modeling.
- Strong judgment in evaluating supplier negotiations, risk scenarios, and logistics trade-offs.
- Ability to navigate supply chain resources.
- Proficiency in reading and writing informal and professional English.
- Strong communication, interpersonal, analytical, and organizational skills.
- Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
- Passion for technological advancements and innovation in business.
- 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.
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.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
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What We Do
Understand the Universe
