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.
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.
| Title | Stage | AI score |
|---|---|---|
| Medicine Tutor This role involves providing high-quality input and labels for AI model training in the medical domain, using specialized software and collaborating with the technical team to refine annotation tools and support new AI tasks. Responsibilities include labeling and annotating text, voice, and video data, and potentially recording audio/video sessions. | Data | 7 |
| Security Engineer - Platform Security Security Engineer role focused on building AI-driven security tools and agents to protect Kubernetes infrastructure and advance secure AI systems. Responsibilities include designing and implementing AI-powered security solutions, identifying vulnerabilities, and championing secure engineering practices. Requires expertise in Python, Rust, or Go, and experience with Docker and Kubernetes. | Agent |
| 7 |
| Member of Technical Staff - Recommendation Systems Seeking exceptional Applied engineers to work on a high-priority project with ~600 million monthly users, focusing on recommendation systems, ranking algorithms, and search technologies. Responsibilities include designing and architecting recommendation algorithms, leveraging AI stacks, writing data pipelines and training jobs, iterating through user feedback and experimentation, and ensuring scalability and efficiency of ML systems. Requires knowledge of data infrastructure (Kafka, Clickhouse, Spark), experience implementing recommender systems/deep learning at industrial scale, and proficiency in DL frameworks (JAX, PyTorch). CUDA kernel experience is a plus. | Ship | 7 |