We are building an evaluation benchmark for frontier AI browsing agents. Your job is to design research problems that a state-of-the-art AI cannot solve, even with full web access and multiple attempts. This is not a subject matter expert role, nor is it a content-writing role. It is investigative research. You will start from a verifiable fact, work backwards to construct a question that makes that fact extremely hard to locate, and then prove your work with a complete, auditable evidence trail. What You Will Produce A natural-language research question with a short, stable, objectively verifiable answer Clues, each independently checkable, spanning multiple fact types - including dates, people, places, organisations, works, events, records, and quantities - with specific constraints A validation record showing the obvious searches you ran and the results they returned Minimum Qualifications Master's OR >3 YOE. Demonstrated open-web research ability, including locating primary records and navigating government and institutional databases, archives, registries, and PDF documents Precision with sourcing. You cite exact pages, tables, and sections—not just homepages Comfort researching unfamiliar subjects from scratch Native or near-native written English High tolerance for structured documentation. The evidence trail is the majority of the work Experience with LLM evaluation, red-teaming, or benchmark construction Experience in one or more of the following domains: Reference librarianship, archival research, or special collections Investigative journalism or professional fact-checking OSINT, due diligence, KYC, or investigative research Patent, prior-art, or legal-discovery search Genealogy and records research Competitive quizzing or puzzle-hunt construction Nice to Have Familiarity with JSON and structured data delivery formats

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud, an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing is based in San Francisco, California and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.