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# Application Security Specialist - Fully Remote

- **Company:** Mercor, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $145,600.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Software System Penetration Testing, Continuous Integration, Machine Learning, Secure Coding, SQL Injection, Software Security, GWAPT, Devsecops, Docker, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/application-security-specialist-fully-remote-new-york-ny--7d619a90-fd3f-4472-83b7-1f6d5a686a3c

## About the Role

Applications Security, Artificial Intelligence (AI), Benchmarking, Research Laboratory, Docker, Productivity Management, Data Quality, Performance Modeling, Time Management, Performance Management, Must-Have

 * 3+ years of hands-on experience in application security, penetration testing, or vulnerability research.
 * Strong understanding of CVE vulnerability taxonomy and severity frameworks (CVSS, CWE, CAPEC).
 * Demonstrated expertise in secure coding and remediation across common vulnerability classes (SQL injection, command injection, buffer overflow, deserialization, SSRF, misconfigurations, privilege escalation).
 * Experience designing or evaluating two-part verification logic (functionality tests + vulnerability tests).
 * Proficiency with Docker and Docker Compose for multi-container vulnerability reproduction environments.

Preferred

 * OSCP, GPEN, GWAPT, or equivalent offensive-security certification.
 * Experience with CVE disclosure, responsible vulnerability reporting, or maintaining exploit proof-of-concept code.
 * Background in DevSecOps, CI/CD security gating, or SAST/DAST tooling.
 * Prior technical content review, assessment design, or QA for security-focused engineering tasks.

## Description

* Evaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks for AI model training.
 * Assess CVE reproductions for faithfulness and ensure fixes are sound.
 * Verify rigorous logic and ensure Docker-based lab environments accurately recreate exploitable conditions.
 * Provide clear, rubric-based written feedback to improve model outputs.
 * Collaborate with AI research teams to enhance training data quality and downstream performance.
 * Work independently and asynchronously to meet deadlines while improving AI model performance.