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

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.

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.