xAI
AI Frontier · AI lab
- HQ
- Palo Alto, US
- Founded
- 2023
- Size
- 1,000+
- Website
- x.ai
Products
AI Frontier · AI lab
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).
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 |
|---|---|---|
| Software Engineer - Evals Software Engineer for the Evals team at xAI, responsible for building and maintaining systems to measure AI model capabilities and behaviors, including dataset design, grading schemes, and execution infrastructure. The role focuses on creating tools that accelerate frontier research and diagnose agent failures. | Eval GateData | 9 |
| Member of Technical Staff - RL Training Framework Seeking an engineer to develop the RL training framework for large-scale RL workloads, focusing on performance, scalability, and observability. Requires experience with distributed systems and Python/Jax/Rust/C++. | DataPost-train |
| 9 |
| Member of Technical Staff - RL Inference Engineer to optimize inference stack for RL workloads, analyze performance bottlenecks, and implement novel RL techniques. Requires experience in distributed systems, LLM inference, and programming languages like Python/C++/Rust with frameworks like PyTorch/Jax/CUDA. Preferred skills include quantization, numerics, and inference engines. | ServePost-train | 9 |
| 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 - Model Training xAI is seeking a Member of Technical Staff focused on Model Training. The role involves working on critical modeling challenges and building useful AI models. While prior experience training models used by millions is a plus, it's not strictly required. The company emphasizes truth-seeking AI and a meritocratic environment. | Data | 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 |
| Member of Technical Staff - Mid-training This role focuses on scaling synthetic data for AI training, distilling model intelligence, optimizing data mixtures for RL, engineering long-context data, and developing evaluations for mid-training checkpoints. It requires expertise in ML scaling laws, experimental design, curating multi-modal AI training data, and large-scale data processing frameworks. | DataPost-train | 9 |
| Human Data Engineer This role focuses on creating and executing human data projects to provide high-quality tasks and evaluations for AI model training. The Human Data Engineer partners with model teams, designs projects to capture signals, drives data yield and evaluation lift, and influences data strategy. They are responsible for end-to-end delivery of data and evaluation projects, building tools to measure data effectiveness, maintaining data integrity, and researching techniques for data collection, annotation, generation, and multimodal integration. The role also involves shaping model behavior through targeted data work and collaborating with operations teams to scale projects. | DataEval Gate | 8 |
| ML Infrastructure Engineer xAI is seeking an ML Infrastructure Engineer to build and optimize the reliable, high-performance ML platform powering their recommendations. This role involves designing and scaling GPU compute infrastructure, training frameworks, and experimentation tools, developing data pipelines, and integrating large-scale data, training, and inference systems. The engineer will collaborate with ML teams to productionize models, ensure scalability, reliability, and efficiency, and work across the full stack. Requires 2+ years of industry experience with large-scale production environments, distributed systems, GPU infrastructure, and ML platforms, proficiency in Python and C++/Rust, and familiarity with ML frameworks like JAX/PyTorch and Linux/orchestration tools. | Serve | 8 |
| Member of Technical Staff - Imagine Safety This role focuses on building and scaling safety systems for a multimodal generative AI platform (Grok), ensuring responsible deployment of images, video, and audio generation. It involves designing safeguards, detection systems, and evaluation frameworks to prevent harm, mitigate risks, and improve safety through feedback loops, while also ensuring high performance and low latency. | Eval GateAgent | 8 |
| Member of Technical Staff - X Search The X Search team is responsible for building and operating the core search engine that powers discovery on X. This role involves building and operating large-scale search engines and infrastructure, training state-of-the-art ML ranking models, and integrating Grok's reasoning capabilities into search systems and products. The role requires experience with vector databases, search indices, and production ML systems. | ShipAgent | 8 |
| Member of Technical Staff - Imagine Product This role focuses on building and scaling systems for AI-driven media experiences, specifically for Grok users. It involves designing and implementing scalable infrastructure for real-time multi-modal interactions, processing various media types, and collaborating with research and product teams to deliver consumer-facing features. The role emphasizes full-cycle development from design to deployment and monitoring, aiming to reach hundreds of millions of users. | ShipServe | 8 |
| AI Tutor - Slovak The role involves training and refining AI models (Grok) for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The goal is to enhance Grok's global accessibility and natural spoken interactions. | Data | 7 |
| AI Tutor - Romanian The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions and speech recognition. Responsibilities involve curating and annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The core of the role is data preparation and annotation for audio AI. | Data | 7 |
| AI Tutor - Sorani Kurdish The role focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data, translating content into Sorani Kurdish, and collaborating with technical staff to improve AI's handling of diverse speech patterns and audio nuances. The goal is to enhance Grok's global accessibility and enable natural spoken interactions. | Data | 7 |
| AI Tutor - Khmer The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, translating and localizing text, and collaborating with technical staff to improve AI's handling of multilingual audio nuances and annotation tools. | Data | 7 |
| AI Tutor - Azerbaijani The role involves training and refining AI models for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of diverse speech patterns and audio quality. The goal is to enhance the AI's global accessibility and natural spoken interactions. | DataPost-train | 7 |
| AI Tutor - Slovenian The role involves training and refining AI models for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech nuances and multilingual audio processing. | Data | 7 |
| AI Tutor - Lithuanian The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, translating text, and collaborating with technical staff to improve AI's handling of multilingual audio nuances and annotation tools. | Data | 7 |
| AI Tutor - Serbian This role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, translating and localizing text, and collaborating with technical staff to improve AI's handling of multilingual audio nuances and annotation tools. | Data | 7 |
| AI Tutor - Igbo The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, translating and localizing text, and collaborating with technical staff to improve AI's handling of diverse audio nuances and annotation tools. | Data | 7 |
| AI Tutor - Yoruba The role focuses on training and refining AI models for multilingual audio capabilities, specifically in Yoruba. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve speech processing and annotation tools. The goal is to enhance the AI's global accessibility and natural spoken interactions. | Data | 7 |
| AI Tutor - Ukrainian The role involves training and refining an AI model (Grok) for multilingual audio capabilities. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech nuances, accents, and noise. The focus is on enhancing global accessibility and natural spoken interactions. | Data | 7 |
| AI Tutor - Kannada The role involves training and refining AI models (Grok) for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating and localizing text, and collaborating with technical staff to improve AI's handling of speech nuances and multilingual audio processing. | Data | 7 |
| AI Tutor - Hausa The role focuses on training and refining AI models for multilingual audio capabilities, specifically Grok, by curating and annotating high-quality audio data. Responsibilities include labeling audio clips, translating text into Hausa, supporting data delivery for clear spoken output, and collaborating on tasks to improve AI's handling of speech variations and multilingual audio processing. The role requires native Hausa proficiency, English proficiency, strong auditory perception, and experience with audio transcription and translation. | Data | 7 |
| AI Tutor - Farsi The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, specifically in Farsi. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech, accents, and noise. The goal is to enhance Grok's global accessibility and natural spoken interactions. | Data | 7 |
| AI Tutor - Czech The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, translating and localizing text, and collaborating with technical staff to improve AI's handling of multilingual audio nuances and annotation tools. The core of the work is data preparation and annotation for AI model training. | Data | 7 |
| AI Tutor - Croatian The role involves training and refining AI models (Grok) for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of multilingual audio nuances and annotation tools. | Data | 7 |
| AI Tutor - Bulgarian The role involves training and refining AI models (Grok) for multilingual audio capabilities, focusing on voice interactions, speech recognition, and auditory experiences. Responsibilities include annotating audio data, translating text, and collaborating with technical staff to improve AI's handling of speech nuances across various languages and accents. | Data | 7 |
| Software Engineer - Platform Infrastructure (Rust, C++) Software Engineer focused on building and optimizing large-scale distributed systems and infrastructure for AI training clusters, involving low-level systems programming and hardware/software co-design. | ServeData | 7 |
| Member of Technical Staff - Voice Product The role focuses on building and shipping voice features for the Grok product, involving backend engineering for scalable, low-latency voice infrastructure and model integrations. The goal is to drive performance, reliability, and quality of voice interactions at a global scale. | Serve | 7 |
| Member of Technical Staff - Compute Infrastructure The role involves building and optimizing large-scale GPU clusters and the platform layer for AI training and inference. Responsibilities include low-level CUDA kernel development, Linux kernel internals, custom orchestration, and performance debugging across the full stack to accelerate AI model development. | ServeAgent | 7 |
| Member of Technical Staff - Ads This role involves integrating Grok models into a large-scale Ads Platform, covering aspects like candidate selection, ranking, auction, optimization, and creative generation. The engineer will own and operate these revenue-driving systems. | Ship | 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 |