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.
About the Role
We’re hiring a Software Engineer to join our Quality team. The team builds the systems that define, select, and enforce quality standards across the data and evaluations we deliver to leading AI labs.
You’ll work on infrastructure that evaluates complex outputs submitted by fellows, such as coding tasks designed to challenge advanced AI models. These quality checks run throughout the production process: providing real-time feedback to fellows, supporting internal operators, and validating outputs before they reach customers.
Location: San Francisco, CA. This is an in-office role five days per week.
Build and scale backend systems that evaluate and improve the quality of data delivered to frontier AI labs
Develop infrastructure for running quality checks in real time and before final customer delivery
Help design recommendation systems that select the most effective quality checks for each project
Build data pipelines and measurement systems that make complex, subjective quality signals more observable and actionable
Develop APIs and platform capabilities that allow other teams and tools to use the Quality platform
Help surface Quality capabilities through MCP and other AI-native interfaces used by internal operators
Partner with engineers, researchers, product teams, and operations stakeholders to turn ambiguous quality problems into scalable technical solutions
Improve the reliability, efficiency, and cost-effectiveness of quality workflows as the business grows
Desired Capabilities
2+ years of experience building and maintaining backend applications, services, or data-intensive systems
Strong software engineering fundamentals, including system design, testing, debugging, and operational reliability
A data-oriented approach to solving problems and measuring whether a system is working
Experience working with APIs, databases, data pipelines, or distributed systems
The ability to navigate ambiguous problems, break them into manageable pieces, and deliver iteratively
Strong communication and collaboration skills across technical and non-technical teams
A quality-focused mindset and an interest in building systems that make difficult-to-measure outcomes more rigorous
Extra Credit
Experience with machine learning, applied AI, or AI-enabled products
Familiarity with model evaluation, experimentation, recommendation systems, or ranking systems
Experience with annotation, data-labeling, tasking, or workflow-orchestration platforms
Experience building developer platforms, internal tools, or extensible APIs
Familiarity with MCP, agentic systems, or AI-native development tools
Experience working in a fast-moving startup or similarly ambiguous environment
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, wellness stipend
📚 Growth: 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.
Skills Required
- 2+ years of experience building and maintaining backend applications, services, or data-intensive systems
- Strong software engineering fundamentals, including system design, testing, debugging, and operational reliability
- Data-oriented approach to solving problems and measuring system performance
- Experience with APIs, databases, data pipelines, or distributed systems
- Ability to navigate ambiguous problems, break them into manageable pieces, and deliver iteratively
- Strong communication and collaboration skills across technical and non-technical teams
- Quality-focused mindset and interest in making difficult-to-measure outcomes more rigorous
- Experience with machine learning, applied AI, or AI-enabled products
- Familiarity with model evaluation, experimentation, recommendation systems, or ranking systems
- Experience with annotation, data-labeling, tasking, or workflow-orchestration platforms
- Experience building developer platforms, internal tools, or extensible APIs
- Familiarity with MCP, agentic systems, or AI-native development tools
- Experience in a fast-moving startup or similarly ambiguous environment
Handshake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Handshake and has not been reviewed or approved by Handshake.
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Leave & Time Off Breadth — Time-off practices include flexible/unlimited PTO, companywide recharge weeks in summer and winter, plus additional volunteer and personal holiday time. Feedback suggests sabbaticals and coordinated breaks help people actually use rest time.
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Parental & Family Support — Parental leave is described as extended for primary and secondary caregivers, and family-oriented policies are highlighted. Fertility and family-support resources are referenced in public materials.
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Healthcare Strength — Core coverage spans medical, dental, and vision, with added mental-health resources and wellness programming. Feedback suggests these supports contribute meaningfully to overall wellbeing.
Handshake Insights
What We Do
Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 650,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. Earlier this year, we announced our $200M Series F funding round. This Series F fundraise and new valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.
Why Work With Us
How someone builds their career is foundational. We believe in working with the higher education community to help students build meaningful careers. We are at the nexus of universities, students and employers— and we’re able to connect the very best pieces of each side. We’re proud to create a community where students can be more successful.
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