Strategic Projects Lead, Safety

About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

As a Strategic Projects Lead (SPL), Safety , you will own the execution of large-scale human data programs that directly power frontier AI model training and evaluation. You will design, build, and execute operational workflows supporting model policy annotation and develop evaluations across a range of policy areas. You will use model policy annotation to help inform model training, evaluation, and enforcement decisions across leading AI systems. Working hands-on with leading AI labs and technology companies, you will make real-time decisions that affect revenue, margins, delivery quality, and long-term customer relationships. This is a high-ownership, outcomes-driven role for operators who thrive in ambiguity, move fast with incomplete information, and are accountable for results at scale.

Design and architect annotation frameworks and labeling workflows that scale effectively while maintaining high precision, accuracy, and inter-rater agreement Lead, mentor, and manage a team of trusted annotators, fostering a culture of precision, consistency, and care given the sensitive nature of the work while addressing complex edge cases, and identify policy inconsistencies Collaborate with policy leads to offer organized insights regarding gaps, classification ambiguities, and nuanced scenarios derived from practical data annotation Construct and iterate on detailed annotation playbooks and auditor resources to drive precision and alignment across diverse datasets and regulatory domains Detect and surface novel data trends, systemic labeling errors, and strategic opportunities to harden and mature internal safety policies Partner directly with frontier AI labs and senior stakeholders to shape scope, resolve issues, and expand model policy programs through execution You Have 2+ years of experience in trust and safety, policy enforcement, regulatory compliance, regulatory compliance, risk management, management consulting, government or related field Strong analytical and first-principles problem-solving skills applied to scaling operations; proficiency in SQL (or similar) to draw insights from large data sets Exceptional communication and stakeholder management skills, including with senior customers High ownership mindset with pride in end-to-end accountability Curiosity and ability to quickly learn technical AI concepts and industry trends Bonus Points Experience in scaling policy enforcement or content review workflows across large, distributed workforces Subject matter