Backend Software Engineer at San Francisco – High Paying Role ($130K–$500K + Equity)

Introduction

If you’re a Backend Software Engineer looking to work at the forefront of AI innovation, this opportunity at Mercor could be a career-defining move. With salaries ranging from $130K to $500K plus equity, this role offers not just compensation but also the chance to build systems powering some of the world’s most advanced AI models.

In this detailed job breakdown, you’ll learn everything—from responsibilities and eligibility to insider tips that can increase your chances of getting hired.

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About the Company

Mercor is a fast-growing AI-driven company reshaping how talent contributes to artificial intelligence. The company partners with leading AI labs like OpenAI, Google, and Anthropic to provide high-quality human intelligence for training AI systems.

Key Highlights:

• 💰 Valuation: $10 Billion (Series C)
• 🌍 Global Talent Network: 30,000+ experts
• ⚡ Daily Earnings by Network: $2M+
• 🧠 Focus: AI training, evaluation, and human-in-the-loop systems
• 🏢 Offices in San Francisco, NYC, and London

Mercor is building a new category of work where human expertise directly improves AI systems.

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Job Role & Responsibilities

As a Backend Software Engineer, you’ll play a critical role in designing scalable systems and powering AI workflows.

What You’ll Do:

• Build scalable backend APIs and microservices
• Design and maintain high-performance infrastructure
• Work cross-functionally with product and design teams
• Write clean, maintainable, production-grade code
• Participate in:
  • Code reviews
  • Technical design discussions
  • System architecture planning
• Solve real-world problems under constraints
• Contribute to systems used by top AI labs
• Own projects end-to-end (0 → 1 execution)

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Eligibility Criteria

🎓 Education:

• Bachelor’s or Master’s degree in:
  • Computer Science
  • Software Engineering
  • Related technical field

(Equivalent practical experience also accepted)

💼 Experience:

• 1+ years of backend development experience
• Strong fundamentals in programming and system design

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Required Skills

💻 Technical Skills:

• Proficiency in at least one:
  • Python / Go / Rust / Java
• Strong understanding of:
  • Data Structures & Algorithms
  • Distributed Systems
• Experience with:
  • REST APIs
  • SQL / NoSQL databases
  • Cloud platforms (AWS / GCP)

🤝 Soft Skills:

• Ownership mindset
• Problem-solving ability
• Curiosity & learning attitude
• Ability to handle ambiguity
• Communication & teamwork

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Salary & Benefits

💰 Compensation:

• $130,000 – $500,000/year
• Equity (4-year vesting)

🎁 Additional Benefits:

• 🏠 $10,000 housing bonus (near office)
• 🍽️ $1,500/month meal stipend
• 🏋️ Free Equinox gym membership
• 🏥 Health insurance
• 🚀 Fast career growth & ownership

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Work Location & Environment

• 📍 Location: San Francisco, USA
• 🏢 Work Mode: On-site (5 days/week)

What to Expect:

• Fast-paced startup environment
• High ownership culture
• Collaboration with AI researchers
• Exposure to cutting-edge AI development
• Strong engineering-first mindset

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Selection Process

Here’s what a typical hiring process may look like:

1. Application Submission
2. Resume Screening
3. Technical Assessment
4. Coding Interview (DSA + Backend Design)
5. System Design Interview
6. Final Culture Fit / Founder Round
7. Offer Rollout

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How to Apply

Follow these steps:

1. Visit the official application page
2. Submit your resume
3. Complete any required assessments

👉 Apply Here:
Link for Apply

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Important Dates

• 📅 Job Posted: April 2026
• ⏳ Last Date to Apply: Not specified (Apply ASAP)

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Important Links

• 🔗 Application Link: Link for Apply
• 🌐 Company Website: https://www.mercor.com

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Tips for Candidates

✅ Resume Tips:

• Highlight backend projects with real-world impact
• Mention scalability, APIs, and system design experience
• Use metrics (e.g., “improved performance by 40%”)

✅ Interview Tips:

• Practice DSA (LeetCode medium-hard)
• Prepare system design (scalable APIs, databases)
• Be ready to explain:
  • Past projects
  • Design decisions
  • Trade-offs

✅ Bonus:

• Show interest in AI systems and infrastructure

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Common Mistakes to Avoid

❌ Generic resumes
❌ Ignoring system design preparation
❌ Not understanding scalability concepts
❌ Weak communication during interviews
❌ Overcomplicating solutions

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FAQ Section

1. Is this role suitable for freshers?

Yes, candidates with strong fundamentals and 1+ year experience can apply.

2. Is remote work available?

No, this is a fully on-site role in San Francisco.

3. What makes this job unique?

You’ll work directly on systems used by top AI labs globally.

4. What tech stack is used?

Primarily Python, Go, Rust, cloud platforms, and distributed systems.

5. Is visa sponsorship available?

Not specified—check during application.