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 - Pre-Training xAI is seeking a Member of Technical Staff focused on Pre-Training to train trillion-parameter neural networks at scale. The role involves implementing state-of-the-art methods, innovating in pretraining and scaling paradigms, and requires strong engineering skills in model-hardware co-design, ML scaling laws, and distributed training for efficiency. | Pretrain | 10 |
| 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 |
| Member of Technical Staff - Inference The role focuses on designing and optimizing large-scale model serving systems for high-performance inference, ensuring speed and reliability for millions of users. Responsibilities include architecting distributed infrastructure, optimizing latency and throughput, building high-concurrency systems, and accelerating inference engines. | Serve | 9 |
| 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 |
| Data Engineer xAI is seeking a Data Engineer to build and maintain production-grade data pipelines, tooling, and software systems for data acquisition, preparation, quality evaluation, and delivery for model training. The role involves analyzing data performance, investigating anomalies, and researching methods to improve data quality, with a focus on enabling effective and reliable model training. | Data | 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 |
| Member of Technical Staff - RL Infrastructure This role focuses on building infrastructure and frameworks to support AI agents, data processing, and model evaluations, with a strong emphasis on RL training and automation. The primary output is the agent environment and associated tooling, with secondary contributions to data pipelines for RL training. | AgentData | 8 |
| Software Engineer, Data Software Engineer on the Data team at xAI, responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. Focuses on building a reliable, scalable enterprise data platform to ensure models are trained on high-quality data. | Data | 7 |
| Senior Data Analyst- Fraud & AML Senior Data Scientist role focused on modernizing and strengthening financial crime detection capabilities by architecting, building, and optimizing data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions to support BSA/AML regulatory compliance. The role involves working with Python, SQL, and AI-enabled tooling, partnering with a Compliance Machine Learning team, and supporting regulatory examinations. | DataPost-train | 7 |
| 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 |
| Senior Analyst, Legal Operations This role focuses on enhancing legal operations systems and processes by assessing and handling legal requests from global government entities. The Senior Analyst will process high-volume content-removal and user-information production requests, leveraging expertise in legal operations, regulatory compliance, and content moderation. A key aspect of the role involves collaborating with technical teams to design, train, and refine AI agents, curate training data, and build scalable automation tools. The position requires strong analytical and risk-judgment skills, with a focus on optimizing AI-driven automation for legal and compliance workflows. | AgentData | 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 |