Top Artificial Intelligence Jobs in Mexico City

Provide technical support to customers via phone, chat, and email. Troubleshoot technical issues, guide users through solutions, and document resolutions. Foster collaboration and share knowledge within the support team while maintaining high customer satisfaction.

The Data Annotator will analyze live videos for risk identification and support AI/ML model training by generating accurate training datasets. Requires good communication, attention to detail, and ability to collaborate in a 24/7 environment.

The Senior Technical Project Lead will lead AI and Automation projects, acting as a Scrum Master, managing team workflows, and communicating with executives to drive project success.

Lead development of AI and data science products, managing roadmaps and fostering integration across teams to enhance analytics capabilities within Pfizer.

Lead the development of AI self-service platforms to enhance customer experience, focusing on performance analysis, strategic collaboration, and innovation in conversational AI.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The Senior Presales Engineer will collaborate with sales and solutions teams to design multi-product solutions, influence product strategy, and document technology trends while leading complex sales cycles.

The AI Engineer will design and deploy AI-powered solutions, develop ML models, oversee data processing, and mentor teams, ensuring performance and scalability.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

The Azure AI Software Engineer will design and build .NET services and APIs integrating Azure OpenAI and Azure services, focusing on AI solutions and workflows with responsibilities including mentoring engineers and implementing observability metrics.

The Technical Product Manager will own the core Identity experience, drive product strategy, collaborate with cross-functional teams, and ensure data integrity in user verification processes.

As the Identity Product Manager, you'll own the strategy and execution of identity verification and onboarding, collaborating with cross-functional teams and leveraging AI to enhance user experience and security.

The Technical Product Manager will lead the identity verification experience, managing product strategy, data architecture, and cross-functional collaboration, while analyzing metrics and driving AI innovations.

Lead the architecture and implementation of user interfaces for AI-powered legal drafting, focusing on user and developer experiences while ensuring code quality and performance optimization.

Lead the development and implementation of AI strategies within the Marketing team, ensuring effective adoption and measurement of AI tools, while fostering innovation and best practices.

This role involves managing a team of AI Success Strategists to deliver AI-driven solutions, ensuring adoption, retention, and customer satisfaction through strategic execution and operational leadership.

The Revenue & AI Operations Analyst optimizes automated sales systems, ensures CRM integrity, manages AI communications, and leads QA processes to enhance sales efficiency.

The Lead AI Forward Engineer designs AI-powered solutions within the AI Reimagine program, guiding architecture and implementation across technology teams to optimize operational efficiency and automation.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.