Currently tracking 71 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $148k–$600k (avg $306k).
xAI currently has 97 active AI-related job listings. The majority of these roles, 66%, are focused on data. Engineering is the dominant function, with 96 roles listed. The United States is the primary hiring country, accounting for 36 of the positions. Frequent tech tags include synthetic data, audio speech, and fine-tuning. Over the last 30 days, xAI has posted 10 new AI roles, a 75% decrease compared to the previous 30-day period.
xAI currently has 92 active AI-related roles in our index. The most common open titles are: Member of Technical Staff - Model Training (2), Senior Analyst - Safety Operations (Child Safety) (2), AI Healthcare and Administration Tutor , AI Tutor - Arabic, AI Tutor - Audio Editing. Most positions are in Engineering and Research.
xAI's active AI hiring is concentrated in: data (64%), post-training (13%), agents (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
xAI is hiring AI talent in: United States (35 roles), United Kingdom (4 roles), Japan (1 role).
Job postings at xAI most frequently reference: synthetic data, audio speech, fine tuning, rl post training, model serving.
In the past 30 days, xAI has posted 4 new AI-related roles. That is a -67% change versus the prior 30 days (12 → 4).
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff - Post-Training and RL This role focuses on critical post-training and reinforcement learning challenges for AI models, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. The goal is to build useful models through these techniques. | Post-train | 9 |
| Member of Technical Staff - Multimodal Understanding xAI is seeking a Member of Technical Staff for their Multimodal Understanding team to advance superhuman multimodal intelligence. The role involves working across the full stack of multimodal AI, from data curation and pre-training to post-training, inference, evaluation, and end-to-end product experiences. Responsibilities include designing and optimizing large-scale distributed systems, developing data pipelines, advancing multimodal capabilities, creating evaluation frameworks, and innovating on algorithms and scaling paradigms. The role requires hands-on experience with multimodal pre-training/post-training/fine-tuning, proficiency in Python and ML frameworks, and proven track record in building large-scale distributed ML systems and data pipelines. |
| Post-trainPretrain |
| 9 |
| Member of Technical Staff - Voice Model The role focuses on building and improving voice AI models for natural, low-latency spoken interactions. This involves large-scale data curation, speech-language model pre-training and post-training, and developing a comprehensive evaluation framework. The goal is to integrate these models into real-time applications for a global scale deployment. | Post-trainData | 9 |
| Member of Technical Staff - Imagine Model xAI is seeking a multimodal engineer to develop AI experiences beyond text, focusing on image and video understanding and generation, with audio integration. Responsibilities include data curation, modeling, training, inference serving, and product integration, covering pretraining and post-training phases. The role involves creating engineering agendas, improving data quality, designing evaluation frameworks, implementing efficient algorithms for real-time inference and serving, and developing scalable data pipelines for multimodal datasets. Collaboration with product teams for production integration and iteration based on user feedback is key. | Post-trainServe | 9 |
| Senior Analyst, Safety Operations This role focuses on training and refining Grok (an LLM) to enforce terms of service, minimize risks, and prevent harmful content. Responsibilities include monitoring content, processing appeals, auditing automations, labeling data, and collaborating to improve AI defenses. Requires expertise in improving LLMs for safety and enforcement, experience in online safety, policy interpretation, data analysis, and ethical reasoning. Preferred experience includes Trust and Safety roles in social media and red-teaming LLMs. | Post-trainData | 7 |
| Manager, Safety Operations Manager for Safety Operations at xAI, responsible for leading a team that trains and refines Grok (an LLM) to enforce terms of service, minimize risks, and prevent harmful content. The role involves managing analysts, overseeing data labeling, ensuring quality curated data for ethical alignment, identifying abuse vectors, and improving AI defenses. Requires leadership experience in AI-driven operations and expertise in LLM improvement for safety and efficiency. | Post-train | 7 |