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Handshake

Strategic Projects Lead, Safety

Seattle, WA

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hirly's read of this role

Seniority
Lead / management
Stated salary
$160,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
10 Sept 2026

Derived automatically from the posting.

the posting

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.

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

  • Handshake delivers benefits that help you feel supported—and thrive at work and in life.
  • The below benefits are for full-time US employees.
  • 🎯 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

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers .

Original posting on Handshake's site ↗

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