Xperteez Technology Logo

Xperteez Technology

Backend Security Engineer, Remote - Contract

Reposted 12 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.
The summary above was generated by AI

Job Role: Backend Security Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.

Required Skills

  • Python3

  • JAVA

  • Rust

  • Algorithms

  • Basics C++

  • Typescript

  • bug fixing

  • feature implementation

  • codebase refactoring

  • performance optimization

  • pentesting

  • Security audit

What we're looking for

  • Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar

  • A track record building scalable services and APIs

  • Comfort with debugging, performance work and automated testing

  • Solid code review instincts

  • A cybersecurity or SecOps background is a big plus — secure coding, appsec, pentesting, vulnerability assessment, OWASP/CWE, or security-focused reviews.

Preferred Qualifications

  • Proven experience in backend development, with a track record of delivering high-quality and performant projects.

  • Background in cybersecurity, such as penetration testing, vulnerability assessment, or security code reviews.

  • Demonstrated success in identifying and resolving software bugs and system bottlenecks.

  • Experience with codebase refactoring and implementing complex features in large-scale applications.

  • Strong understanding of algorithms, data structures, and foundational computer science concepts.

  • Excellent analytical, problem-solving, and technical communication skills.

A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.

Process:

  • Apply to the role, filling out the screening questions

  • Complete AI Interview (approx. 30 minutes)

  • Technical Assessment (Tentative)

  • Hiring Manager review

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Similar Jobs

12 Days Ago
Remote
United States
Entry level
Entry level
HR Tech • Information Technology • Professional Services • Consulting
Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.
Top Skills: C++CweGoJavaNode.jsOwaspPython 3RustTypescript
3 Minutes Ago
Remote
Ohio, USA
102K-183K Annually
Expert/Leader
102K-183K Annually
Expert/Leader
Other • Utilities
Develop and execute enterprise sales strategies, acquire new logos, expand existing accounts, and build relationships with C-suite decision-makers. Translate telecom and technology capabilities into tailored solutions, lead complex negotiations and multi-stakeholder buying cycles, close high-value deals, and maintain accurate pipelines, forecasts, and performance reports. The role is remote but requires residence in the Cincinnati market and regular planned in-person collaboration.
Top Skills: 5GTelecom SolutionsWireless Services
7 Minutes Ago
In-Office or Remote
San Francisco, CA, USA
150K-236K Annually
Senior level
150K-236K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead enterprise sales for named accounts or territory: develop strategic account plans, build C-level relationships, negotiate complex contracts, collaborate cross-functionally, forecast and close deals, and drive expansion and customer success across Atlassian products.
Top Skills: Atlassian ProductsCRM

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account