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 |
|---|---|---|
| Member of Technical Staff xAI is seeking a Member of Technical Staff to build collaborative relationships, define vision and strategy, and deliver impactful projects. The role involves hands-on technical problems, cutting-edge research in AI and deep learning (neural network architectures, language modeling, speech recognition), and working on large language model training, pipeline parallelism, and fine-tuning with truthful data. The position also involves identifying technological differentiation, mentoring senior leaders, and driving innovation in quantitative reasoning and language understanding. | Post-trainPretrain | 9 |
| AI Tutor - Crypto Role focused on providing high-quality annotations, evaluations, and expert reasoning to train and refine frontier AI models, specifically in the domain of cryptocurrency quantitative trading and digital asset markets. Involves generating diverse data formats (text, voice, video) and critiquing model outputs. |
| DataPost-train |
| 8 |
| Model Behavior Tutor - Epistemic Rigor & Truthfulness This role focuses on improving the epistemic rigor and truthfulness of AI models, specifically ensuring they reason carefully, avoid motivated reasoning, and communicate uncertainty appropriately. Responsibilities include assessing model outputs for accuracy and logical coherence, identifying fallacies, writing exemplary reasoning, and constructing adversarial examples. The role requires a strong analytical background, a track record in forecasting or rigorous analysis, and deep knowledge in fields like philosophy of science, cognitive psychology, or statistics. | Post-trainEval Gate | 8 |
| Finance Expert - Quantitative Trading 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. | DataPost-train | 7 |
| Accounting Expert - Tax 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. | DataPost-train | 7 |
| Accounting Expert - Faculty / Professor of Accounting This role involves applying academic and teaching expertise in accounting to help train AI models. The expert will provide high-quality accounting analysis, explanations, and evaluations to support AI model training on complex accounting concepts, working closely with technical and research teams to shape new AI capabilities by evaluating scenarios and guiding model reasoning. | Data | 5 |
| Finance Expert - Macro Research Analyst This role focuses on analyzing global economic forces, translating macroeconomic dynamics into actionable insights, and building forecasts and scenario analyses to understand how macro trends shape financial markets and risk conditions. The research will help identify causal relationships, constraints, and second-order effects within complex economic systems, supporting the training, evaluation, and application of AI models to economic and financial questions. | — | 0 |