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Strategic Projects Associate, Safety

Handshake

Company websitejoinhandshake.com (Handshake, opens in new tab)

Base salary $120K

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 min ago) · observed since

About this job

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 Safety Strategic Projects Associate (SPA), 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:

  • Support the design and iteration of annotation frameworks and labeling workflows that scale while maintaining precision, accuracy, and inter-rater agreement

  • Coordinate trusted annotators and contribute to a culture of consistency, care, and sound judgment when handling sensitive content and complex edge cases

  • Partner with policy leads to organize and surface insights on policy gaps, classification ambiguities, and nuanced scenarios identified through annotation work

  • Build and maintain detailed annotation playbooks, quality resources, and auditor guidance across diverse datasets and regulatory domains

  • Analyze annotation data to identify emerging trends, systemic labeling errors, and opportunities to strengthen internal safety policies

  • Work with frontier AI labs and internal stakeholders to support project scoping, issue resolution, and delivery of model policy programs

You Have

  • A strong academic record as a recent graduate (or someone graduating soon), ideally with internship or light work experience in trust and safety, policy enforcement, regulatory compliance, risk management, management consulting, government, or a related field

  • Strong analytical and first-principles problem-solving skills; comfort or aptitude for drawing insights from large datasets (SQL proficiency a plus)

  • Excellent written and verbal communication skills, including the ability to work effectively with senior stakeholders and customers

  • High ownership and a reliable, detail-oriented approach to execution

  • Curiosity and an ability to quickly learn technical AI concepts and industry trends

Bonus Points

  • STEM background or exposure to technical concepts (e.g., data, software, or AI)

  • Experience supporting policy enforcement or content-review workflows across large, distributed workforces

  • Familiarity with high-severity policy harms, including violent activities, dangerous organizations or 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.

Source: Handshake on Ashby · View original posting (opens in new tab)

This range next to 6 other live Handshake roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Handshake roles with the nearest advertised base floor
RolePublished base
Strategic Projects Associate, Safety (this listing)$120K
Data Scientist, Handshake AI$135K - $180K
Software Engineer I, Build Review & Test$136K - $170K
Mid-Market Customer Success Manager$140K - $160K
Senior Partner Insights Manager - EDU$144K - $180K
Machine Learning Engineer$150K - $189K
Senior Marketing Manager - Fellows$152K - $190K

Same $100K to $400K scale as every card. All Handshake roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-16
Where this pay comes from

Location as the employer wrote it: Seattle, WA

USD 120,000 – 120,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.