xAI
AI Frontier · AI lab
- HQ
- Palo Alto, US
- Founded
- 2023
- Size
- 1,000+
- Website
- x.ai
Products
xAI currently has 56 active AI-related job listings. The majority of these roles, 57%, are focused on data. Engineering is the top function for these positions, with the United States being the primary hiring country. Frequent tech tags include audio_speech, synthetic_data, and model_serving. Over the last 30 days, xAI has posted 11 new AI roles, representing a 267% increase compared to the previous 30-day period.
Currently tracking 48 active AI roles, up 103% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $148k–$600k (avg $302k).
AI Frontier · AI lab
xAI currently has 73 active AI-related roles in our index. The most common open titles are: AI Tutor - Arabic, AI Tutor - Audio Editing, AI Tutor - Azerbaijani, AI Tutor - Bulgarian, AI Tutor - Catalan. Most positions are in Engineering.
xAI's active AI hiring is concentrated in: data (70%), application (8%), serving infrastructure (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 (43 roles), United Kingdom (2 roles), Japan (1 role).
Job postings at xAI most frequently mention: Speech & Audio Processing, Linguistics, Language Modeling, Data Labeling, Dialog Systems.
In the past 30 days, xAI has posted 30 new AI-related roles.
| 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 |