Are you an English language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for English speakers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for English language specialists who live and breathe the intricacies of English grammar, syntax, morphology, semantics, phonetics, and pragmatics. You’ll challenge advanced language models on topics like sentence structure, verb tense and aspect, word usage, idiomatic expressions, pronunciation, and cultural context—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A degree in English language, linguistics, or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands-on linguistic analysis projects signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your English language expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Employment type: Contract Workplace type: Remote Seniority level: Entry Level

• Generate AI-powered videos daily using company-developed AI software, following assigned themes and creative guidelines. • Ensure all content complies with YouTube policies and copyright regulations. • Upload and publish videos manually via personal phone. • Maintain accurate reporting in Google Sheets and organize files properly in Google Drive. • Deliver the agreed volume of content on schedule and take full responsibility for final content quality and publication. • Identify video ideas independently or generate them using AI tools in alignment with assigned themes and content direction. • Collaborate closely with the manager to review and approve concepts and final videos, promptly reporting any issues, risks, or questions that arise during production. • Evaluate AI-generated results and improve them manually when needed, including regenerating scenes, rearranging visuals, and performing light video editing. • Create metadata for each video using AI, including titles, descriptions, and hashtags.

• Identify and own a continuous pipeline of AI and automation use cases across the HR tech stack; from intelligent data validation to LLM-assisted document generation, classification, and employee-facing tooling. • Design and deploy AI-powered workflows using tools like Workato AI agents, Claude APIs, and equivalent orchestration platforms, not as one-off experiments, but as production-grade automations with monitoring and documentation. • Use AI in your own daily workflow to research configuration options, generate documentation drafts, synthesize stakeholder feedback, and prototype solutions - this is a baseline expectation, not a differentiator. • Partner with IT and integration owners to identify where agentic or LLM-driven automation can replace manual data handling, approval routing, and reporting workflows. • Serve as the People Technology SME for Core HCM in Workday and our broader tech stack, owning configuration across the employee lifecycle. • Design, configure, and maintain complex, scalable solutions focused on automation and elevating the employee experience. • Act as a strategic advisor to stakeholders across Operations, Global Expansion, IT, FP&A, and other teams, bringing Workday best practice expertise to the table, proactively identifying gaps, and driving the roadmap forward rather than waiting for requests to come in. • Lead and execute M&A integrations and new entity builds end-to-end including due diligence support, data migration via EIBs, Day 1 readiness, and post-close harmonization, ensuring a clean foundation for all downstream modules from day one. • Lead complex, cross-functional technology projects in the People Technology space from requirements gathering through testing and deployment.

• Build, Lead, and Scale a High-Performing AI Advisor Team • Be a Player/Coach: Strategic Field Engagement to Win Big Deals • Build a Repeatable Value-Selling Motion (with Deal Reviews as the Coaching Engine) • Run Autonomous Enablement Programs (Sales Excellence at Scale) • Drive Product-Market Fit via Tight Feedback Loops Across the Org