xAI

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 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.

The role focuses on providing high-quality data annotations and inputs for AI model training in structured finance contexts. The specialist will use proprietary software to label data related to securitization structures, loans, and project finance, and collaborate with technical teams to refine annotation tools and curate data.

This role focuses on providing high-quality data annotations and inputs for AI models specifically within fixed income markets. The expert will leverage their financial expertise to label data for training AI systems on trading, valuation, and market dynamics, and collaborate with technical teams to refine annotation tools and curate data.

This role focuses on providing expert data annotations and inputs for private credit investment contexts to train AI models. The expert will leverage their deep knowledge of private credit transactions, analysis, and documentation to curate data, collaborate with technical teams on annotation tools, and help design new AI tasks.

The role focuses on providing high-quality data annotations and inputs for AI models in the context of private credit analysis. Responsibilities include leveraging expertise in credit risk assessment to label data, collaborating with technical teams to refine annotation tools, and contributing to the training of new AI tasks. The goal is to ensure AI models effectively capture real-world private credit analysis dynamics.

This role involves providing expert data annotations and inputs for Debt Capital Markets (DCM) investment banking contexts to train AI models. The expert will leverage their deep knowledge of DCM transactions to curate high-quality data, collaborate with technical teams on annotation tools, and analyze complex problems to enhance AI model performance.

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 evaluating, refining, and creating elite-level writing to improve Grok's capabilities. Responsibilities include labeling and annotating AI-generated text, curating data for writing outputs, collaborating with engineers on AI writing tasks, and improving annotation tools. The role requires strong English proficiency and expertise in a specific writing specialty (Creative Fiction, Game Writing, Technical Writing, Nonfiction, Journalistic, or Copywriting), with a focus on attention to detail, grammar, and the ability to critique AI text.

The role involves using proprietary tools to label and evaluate data, focusing on math as used in real-world occupational settings. The specialist will provide solutions, evaluate model responses for correctness and adherence to domain rules, and work with engineers to refine tasks and workflows. This is for enhancing AI technologies through high-quality inputs and labels.

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.

Role focuses on providing high-quality data annotations and inputs for AI models in the context of ECM investment banking, supporting the training of AI systems by leveraging expertise in equity capital markets transactions.

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.

Role involves providing high-quality inputs, labels, and annotations to train AI models, specifically focusing on applied math problems. Responsibilities include using specialized software, collaborating with the technical team, refining annotation tools, and selecting/creating challenging math problems to improve model performance. The role may involve data in text, voice, and video formats.

The role involves enhancing AI technologies by providing high-quality inputs, labels, and annotations using specialized software. The specialist will collaborate with the technical team to train models on human interactions and problem-solving, refine annotation tools, and create complex problems from advanced pure math topics to improve AI performance. Tasks may include gathering and annotating data in text, voice, and video formats.

The role involves providing high-quality input and labels using specialized software to support the training of new AI tasks, collaborating with the technical team to refine annotation tools and select complex problems for model improvement. Requires a Master's or PhD in electrical or computer engineering.

This role involves providing high-quality input and labels for AI training using specialized software, collaborating with the technical team to support new AI tasks, and refining annotation tools. The primary focus is on data curation and supporting the training of AI models in a specific domain (Mechanical Engineering).

This role involves providing high-quality input and labels for AI training using specialized software, collaborating with the technical team to support new AI tasks, refine annotation tools, and improve model performance. The specialist will leverage their Chemical Engineering expertise to contribute to the development and implementation of cutting-edge AI initiatives.

This role involves providing high-quality input and labels using specialized software to support the training of new AI tasks, collaborating with the technical team to refine annotation tools and select complex problems. The focus is on data curation and supporting the training process for AI models.

Role focused on providing high-quality input and labels for training AI tasks, collaborating with the technical team to refine annotation tools and improve model performance. Requires strong analytical and communication skills, with a background in data science or similar competitive fields.

The role involves providing high-quality input and labels for training AI models, specifically in space science. Responsibilities include using annotation software, supporting data curation, improving annotation tools, and solving problems to enhance AI model performance in specialized space science fields. The role requires gathering and providing data in text, voice, and video formats, including annotations and recordings.

The role involves providing high-quality input and labels for training AI models in materials science. Responsibilities include using specialized software, supporting data curation, collaborating with the technical team on new task training, refining annotation tools, and selecting complex problems from advanced materials science fields to improve model performance. The role requires gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions.

This role involves providing high-quality input and labels for AI training using specialized software, collaborating with the technical team to support new AI tasks, and refining annotation tools. The specialist will select complex problems from advanced chemical sciences to improve model performance, gathering data in various formats and evaluating model responses.

This role involves providing high-quality input and labels for AI training using specialized software, collaborating with the technical team to support new AI tasks, refining annotation tools, and selecting complex biological problems to improve model performance. The role requires gathering data in various formats and executing tasks based on evolving instructions.

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.