xAI

The AI Tutor - Arabic role at xAI focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating high-quality audio data in Arabic and English to improve speech recognition, voice interactions, and auditory experiences across diverse languages and accents. The role requires native Arabic proficiency, strong auditory perception, and the ability to provide voice recordings and feedback to enhance the AI's global accessibility and natural spoken interactions.

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, providing labels, annotations, and recordings for various languages and accents, and collaborating with technical staff to improve AI's speech processing and annotation tools. The goal is to enhance global accessibility and natural spoken interactions.

The AI Tutor role focuses on training and refining AI models, specifically Grok, for multilingual audio capabilities. This involves curating and annotating audio data, providing voice recordings, and collaborating with technical staff to improve speech recognition, auditory experiences, and annotation tools across various languages and accents. The goal is to enhance the AI's global accessibility and natural spoken interactions.

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.

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.

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.

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.

This role involves contributing to AI model training by curating code examples, providing solutions, and making corrections in specialized programming languages. The candidate will evaluate and refine AI-generated code for efficiency and scalability, and collaborate with teams to enhance AI-driven coding solutions to meet enterprise-level quality and performance benchmarks.

This role focuses on training and refining AI image generation capabilities by providing labeled data, annotations, and inputs. The specialist will leverage expertise in visual arts and AI image generation tools to enhance the AI's understanding of visual content.

This role focuses on providing expert input, annotations, and evaluations for AI systems, specifically within quantitative trading domains. The individual will help train and refine AI models by teaching them quantitative trading reasoning, modeling markets, evaluating signals, and managing risk. This involves generating high-quality data (text, voice, video), writing annotations, critiquing model outputs, and recording audio explanations, all essential for advancing AI in scientific discovery and real-world reasoning.

This role focuses on providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools to support the development and refinement of AI capabilities in quantitative financial risk management. The expert will train and refine AI models by generating data across text, voice, and video formats, including annotations, critiques, calculations, and explanations, with a focus on market risk, credit risk, liquidity risk, operational risk, and regulatory compliance.

This role involves applying deep tax expertise to train AI models to accurately understand and reason through complex tax issues. The expert will evaluate tax scenarios, guide AI interpretation of tax law, and critique AI-generated tax conclusions, directly influencing the quality and accuracy of AI systems in the tax domain. The role requires collaboration with technical teams to improve data quality and annotation tools, and to provide rigorous solutions and model critiques.

This role focuses on improving the social cognition and emotional intelligence of an AI model (Grok) by teaching it to interpret emotional subtext, social context, and user intent, and respond with appropriate calibration. Responsibilities include detecting and interpreting emotional states, teaching models specific response styles, correcting tone-deaf outputs, building datasets to immunize the model against social tactics, and ensuring cross-cultural sensitivity. The role requires direct clinical experience and expertise in psychological frameworks.

This role focuses on refining the stylistic output of an AI model, specifically Grok, by ranking and rewriting responses for elegance, voice consistency, and aesthetic impact. The tutor will curate training data from high-quality writing and teach the model nuances of language use.

This role focuses on defining and safeguarding the personality and voice of an AI model (Grok), involving reviewing and scoring model responses, writing/revising sample responses, maintaining personality consistency, creating labeled training datasets for specific conversational elements, and developing evaluation tasks with engineering teams. The goal is to enhance user engagement and entertainment while ensuring factual accuracy and a distinctive, witty, culturally fluent voice.

The Sandbox service team at xAI builds and maintains a secure, scalable system that gives AI models safe, controlled access to computational environments. This infrastructure powers critical workloads across training and product, enabling models to run code, build software, interact with tools, and control applications. The role involves provisioning containers and virtual machines on large-scale clusters, granting models interactive control over these remote environments, and spans full-stack development from job orchestration and resource scheduling to filesystem performance tuning. It supports real-time code execution for products like Grok and reinforcement learning in training where models explore various tools.

Backend Engineer for the Enterprise Agents Engineering Team at xAI, focusing on building full-stack solutions that integrate with systems, orchestrate workflows, and use AI to transform business operations. The role involves end-to-end product execution, customer collaboration, and iterative development.

This role focuses on building and operating AI agents and automated systems to support xAI's global Go-To-Market (GTM) organization, aiming to directly generate revenue through forecasting, CRM automation, and revenue capture. It requires a hands-on builder with experience in AI/LLM-powered agent workflows for revenue operations and sales.

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.

This role involves providing high-quality inputs, labels, and annotations to train AI models, specifically focusing on statistics. The individual will collaborate with the technical team to refine annotation tools and create challenging statistical problems to improve model performance. The role may involve working with text, voice, and video data.

The role involves providing high-quality input and labels for training AI models, collaborating with the technical team to support new AI tasks, and refining annotation tools. Responsibilities include selecting complex physics problems to guide AI models, gathering data in various formats, and executing tasks based on instructions.

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.

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.

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.

Seeking a Senior Infrastructure Engineer to design, build, and operate secure, scalable infrastructure for US Government AI projects. This role involves managing training and inference clusters, applications, Kubernetes, and GPU hardware, with a strong emphasis on federal compliance, automation, and observability in a high-security environment.

This role focuses on designing and delivering training programs for monetization functions like Ads, payments, and fintech products. It involves onboarding new hires, developing instructional materials, and assessing training effectiveness using data. The role requires experience in technical training, adult learning principles, and leveraging AI tools to improve training management. A key aspect is building safety training programs in collaboration with stakeholders to enhance platform trust and safety.

This role focuses on enhancing legal operations systems and processes at xAI by handling legal requests, optimizing AI-driven automation, and collaborating with technical teams to refine AI agents and curate training data. The analyst will work on content removal, user data production, and improving AI performance in legal and compliance workflows.

The role focuses on training and refining AI models (Grok) for voice interactions and sound processing by providing labels, annotations, and inputs on sound clips and voice recordings. It involves collaborating with technical staff to develop tasks and improve annotation tools, ensuring high-quality curated data for AI audio capabilities.

This role focuses on creating and annotating datasets for AI training, specifically for Grok's capabilities. The Business Expert will leverage their expertise in executive strategy and decision-making to provide accurate solutions, detailed annotations, and model critiques for advanced AI systems. Responsibilities include using proprietary software for labeling, collaborating on annotation tool design, and interpreting evolving instructions.

This role focuses on data annotation and labeling for AI training, leveraging customer support and success expertise to improve AI capabilities. It involves using proprietary software, collaborating on tool design, and interpreting evolving instructions.

This role focuses on creating datasets for AI training by labeling and annotating data, particularly in HR and talent management domains. The individual will collaborate with technical staff to improve annotation tools and critique AI model responses.

This role focuses on creating and annotating datasets for AI training, leveraging marketing and communications expertise. The Business Expert will work on real-world business scenarios, provide annotations and critiques, and collaborate with technical staff to improve annotation tools. The role requires practical marketing experience, proficiency in marketing platforms, and strong analytical and communication skills.

This role focuses on creating datasets for AI training by labeling and annotating data, leveraging sales and business development expertise to provide critiques and insights on AI model responses in real-world business scenarios. The primary function is data preparation and quality assurance for AI models.

This role focuses on creating datasets for AI training by leveraging expertise in supply chain, procurement, and logistics. The Business Expert will label and annotate data, critique model responses, and collaborate on improving annotation tools, contributing to the advancement of AI capabilities.

This role focuses on training and refining Grok (an AI model) to enforce terms of service, particularly concerning child safety. Responsibilities include monitoring content, investigating child safety threats, processing appeals, and providing data inputs for safety protocols. The role requires expertise in online child safety, LLM improvement for safety, and data analysis to identify abuse vectors and improve AI defenses.

This role focuses on training and refining LLMs (Grok) for child safety operations, involving monitoring content, investigating complex cases, and providing labeled data to improve AI defenses against illegal and harmful content. It requires expertise in online child safety, LLM improvement, and data analysis, with a focus on preventing CSAM/CSE and enhancing platform safety through adversarial testing.

Program Manager for Quality & Training in Safety Operations at xAI, focusing on building scalable systems to improve moderator performance, critical thinking, and decision-making accuracy. The role involves developing and executing training strategies, integrating AI tools, implementing quality assurance processes, and managing a team of trainers to ensure operational excellence and product trust.

The role involves a Tax Law Expert providing high-quality data annotations and inputs for training AI models in tax law contexts. Responsibilities include using proprietary software for data labeling, delivering curated data for complex tax scenarios, and collaborating with technical teams to refine annotation tools and support AI task training.

This role involves providing high-quality inputs, labels, and annotations for AI models, specifically focusing on advanced competition math topics. The individual will collaborate with the technical team to train models, refine annotation tools, and create complex problems. Tasks may involve text, voice, and video data.

This role is for a Senior Frontend Engineer with full-stack capabilities to build and maintain internal tools for AI research. The platforms include a human data collection system (Starfleet) and a research platform for model training, evaluations, and experiment management (Toolbox). The role requires strong frontend (React/TypeScript) and backend (Node.js/Python) skills, experience with large-scale web applications, and product ownership. Familiarity with AI/ML workflows is a bonus.

This role is on the Grok Main Product team, responsible for the user-facing chat portal at grok.com and related experiences. The team builds highly scalable frontends, APIs, and features that handle tens of thousands of queries per second, aiming to make Grok an essential 'everything app' that amplifies human productivity. The role involves owning end-to-end features, collaborating with model and research teams, and shipping breakthroughs at pace.

Seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating the world’s most valuable AI application, judged by the impact it delivers to users. You’ll shape cutting-edge mobile experiences, blending technical mastery with product brilliance.

This role focuses on training and refining AI models (specifically Grok) for video interpretation and generation by providing labels, annotations, and curated data. It requires expertise in video editing, motion graphics, and VFX, with a strong understanding of post-production techniques.

Seeking a Member of Technical Staff to manage and enhance reliability for a multi-data center AI infrastructure. This role focuses on automating processes, building observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime, including partnership with facility operations. The primary objective is to mitigate downtime and minimize impact to end-users through proactive automation, robust observability, and integrated software-physical reliability strategies, ensuring AI infrastructure remains resilient and scalable.

Designer for consumer products at xAI, focusing on social platforms and AI-powered interfaces. Responsibilities include designing end-to-end experiences, understanding user needs, rapid prototyping with AI-assisted tools, and collaborating with engineering and research to ship high-quality products.

This role involves providing expert data annotations and inputs for AI models in the domain of corporate law and securities. The individual will leverage their legal expertise to train AI systems on complex legal documents and transactions, collaborating with technical teams to refine annotation tools and curate data.

The Bookkeeping Specialist will create datasets for training, benchmarking, and advancing AI models by labeling and annotating data in text, voice, and video formats, focusing on practical bookkeeping scenarios. This role supports xAI's mission through data annotation and collaboration with technical staff to improve annotation tools and model accuracy.

This role focuses on creating high-quality data annotations and realistic scenarios for training AI models in corporate finance. The individual will partner with technical teams to improve annotation tools and ensure models capture the complexity of corporate finance decision-making.