xAI

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.

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.

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.

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 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 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.

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 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.

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.

This role involves providing high-quality input and labels using specialized software to support the training of AI tasks, with a focus on Earth Science disciplines. Responsibilities include refining annotation tools, gathering data in various formats (text, voice, video), and guiding AI models to improve research outcomes in specialized scientific areas.

Seeking an Investment Banking - M&A Expert to provide high-quality data annotations and inputs for training AI models in M&A investment banking contexts. This role involves leveraging expertise in M&A, financial modeling, and deal structuring to curate data, refine annotation tools, and collaborate with technical teams to enhance AI model performance.

The role focuses on creating training data, performing model evaluations, and providing annotations for AI models in the domain of equity research. The expert will partner with technical teams to ensure AI models accurately capture investment analysis complexity.

The role involves providing high-quality data annotations and inputs for AI models in legal and compliance contexts, leveraging expertise in regulatory compliance, contract analysis, legal research, and dispute resolution. Responsibilities include using proprietary software for annotation, curating data, collaborating with technical teams, and assisting in the design of annotation tools.

The role involves providing high-quality data annotations and inputs for AI models in healthcare and administration contexts, focusing on patient care coordination, medical billing, and administrative workflows. The specialist will collaborate with technical teams to refine annotation tools and curate data for AI model training.

The role involves providing high-quality input and labels for training AI models in quantitative finance, collaborating with the technical team to support new AI tasks, and refining annotation tools. Responsibilities include using software for input/labels, curating data, supporting training of new tasks, improving annotation tools, selecting quantitative finance problems, and interpreting instructions.

This role involves providing high-quality input and labels for training AI models in economics domains, collaborating with the technical team to refine annotation tools and select complex problems. The AI Expert will also test new models and develop prompts.

The role involves training and refining an AI model (Grok) for web design aesthetics and layouts by providing labels, annotations, and inputs. The goal is to improve the AI's understanding and generation of web design concepts and best practices.