Strategic Projects Lead, Safety at Handshake — Seattle, WA

# About Handshake

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

## The Role

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.

What you'll do

• 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 expertise in high severity policy harms, such as violent activities, dangerous organizations / individuals, or sexual activities
• Experience developing evaluations for harmful content or policy enforcement use-cases

Note: This role involves exposure to sensitive or explicit content (e.g., violent, sexual, or otherwise disturbing material) as part of safety and policy evaluation work.

## We Offer

🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses