Al Programs Analyst
Lead initiatives to establish scalable systems and processes that enhance customer support and value delivery. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
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Lead initiatives to establish scalable systems and processes that enhance customer support and value delivery. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead initiatives to improve products and customer value by coordinating between engineering and operations teams. Establish scalable systems and repeatable processes to drive efficient cross-functional project delivery.
Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. Collaborate with engineering and product teams to optimize operational processes and track key performance metrics.
Manage key accounts as a trusted advisor to ensure customer success and the delivery of high-quality AI data projects. Lead cross-functional collaboration between engineering and operations teams to meet client SLAs and goals.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
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Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
Lead the end-to-end lifecycle marketing strategy for the contributor workforce, focusing on onboarding, engagement, and reactivation. Drive growth through experimentation across paid channels and optimize email programs using a UX-informed design approach.
Lead cross-functional initiatives to build scalable systems and processes that enhance customer value delivery. Coordinate between engineering and operations teams to drive the execution of complex projects and manage timelines.
Lead the direction and execution of critical products supporting advanced AI training and RLHF processes. Develop innovative solutions for annotation efficiency, data exploration interfaces, and large-scale data processing systems.
The role involves owning end-to-end growth initiatives focusing on the acquisition, reactivation, and retention of specialized contributor pools. You will drive platform engagement through experimentation and lead the strategy for acquiring skilled workers across various channels.
Manage end-to-end data operations to ensure efficient collection, processing, and delivery of data for AI model training. Collaborate with engineering and product teams to optimize data pipelines and establish quality metrics.
Design and build core fullstack systems and backend architecture to power the Surge platform. Create scalable tools for data collection, labeling, and evaluation used by leading AI labs.
The role involves embedding with AI labs to evaluate model behavior and design interventions to improve reliability at scale. You will build data pipelines and fine-tuning workflows to address failure modes in complex reasoning and tool use.
The role involves designing high-impact datasets and collection strategies to shape the behavior and performance of frontier LLMs. You will develop frameworks to evaluate dataset quality and optimize annotator behavior to improve model alignment and safety.
Lead the design, implementation, and delivery of scalable software solutions and complex engineering initiatives. Partner with Architecture, Product, and DevOps teams to ensure operational excellence and high-performing system architecture.
This is a talent pipeline for future roles focused on driving growth through data-driven experimentation and digital experiences. Candidates will be considered for various roles in marketing, analytics, and development as client demand increases.
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Build and scale Supabase's integration partner ecosystem, focusing on AI builders and developer tooling. Drive measurable adoption, pipeline, and revenue through joint GTM motions and technical integrations.
The SVP of Engineering provides technical oversight across mechanical, electrical, and controls disciplines for Riot Data Centers. This role is responsible for establishing engineering standards, managing technical talent, and ensuring design integrity across the capital portfolio.
Own the end-to-end lifecycle of the Vault, managing everything from item ingest and internal workflows to international shipping and outtake. Focus on reducing time-to-liquidity by implementing AI-driven automation and professionalizing operational tooling.
Lead the end-to-end delivery of AI engineering projects from problem definition through production deployment on GCP. Direct external contractors and collaborate cross-functionally to translate business needs into technical specifications and scalable AI infrastructure.
Act as a functional specialist in SAP TM to translate business requirements into platform solutions and perform system configurations. Lead workshops, create functional specifications, and support the implementation and testing phases in a global environment.
Configure, customize, and maintain WordPress websites, including themes, plugins, and front-end layouts. Collaborate with teams to translate business requirements into secure, scalable, and high-performance technical solutions.
Provide pre-sales technical consultation and design converged AV/IT network solutions for enterprise and Pro AV customers across the MEA region. Act as a technical bridge between partners, customers, and internal support to ensure successful project delivery and product roadmap influence.
Lead the security execution of an autonomous AI agent platform by validating security posture throughout the development lifecycle. Identify vulnerabilities and define security controls specifically for AI risks like prompt injection and tool misuse.
Lead the design and development of major software components and features for a field service automation platform. Focus on improving overall product quality, scalability, and maintaining the backend infrastructure.
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Facilitate interactive, live virtual training sessions focused on practical AI skill-building for diverse global organizations. Help learners transition from AI awareness to fluency and AI-native capabilities.
Set up patients with PAP equipment and provide comprehensive instruction, follow-up, and troubleshooting for sleep therapy. Manage patient compliance programs and maintain accurate medical records while interfacing with providers.
Complete a series of tasks and provide professional judgment on payroll scenarios to help evaluate AI research models. Provide feedback on the clarity and relevance of task questions related to HR, Finance, and Accounting functions.
Complete a series of tasks and provide professional judgment on payroll scenarios to help evaluate AI research models. Provide feedback on the clarity and relevance of task questions related to HR, Finance, and Accounting functions.
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