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Cybersecurity Software Engineer

talent wall United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Contribute to high-impact research collaborations with leading AI labs, building training datasets for AI model reasoning and problem-solving. Annotate frontier-model trajectories on SWE-bench tasks derived from real open-source repositories. Design benchmark tasks and validate implementation of patches.

Key Highlights
Contribute to high-impact research collaborations
Annotate frontier-model trajectories
Design benchmark tasks and validate patches
Key Responsibilities
Design benchmark tasks
Validate implementation of patches
Annotate frontier-model trajectories
Technical Skills Required
Python JavaScript TypeScript Git Secure software engineering Application security Vulnerability research
Benefits & Perks
Remote work
Flexible work arrangement
Weekly payments on Stripe or Wise

Job Description


Location Requirement: US, EU, CA


Mercor is hiring experienced Software Engineers specialized in Cybersecurity to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building training datasets that improve AI model reasoning and problem-solving on real-world coding tasks.


This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems.


About the Project

You'll annotate frontier-model trajectories on SWE-bench–style tasks derived from real open-source repositories. Currently, closed-source models do not expose their internal reasoning traces, making it difficult to understand how LLMs approach problem-solving.

To address this gap, you'll reconstruct and annotate the reasoning portions of model trajectories—using your own problem-solving process and the full task context to infer and infill the underlying thought process at each step.


Key Responsibilities
  • Design benchmark tasks by ideating a vulnerability class (type/subtype + difficulty) and validating the intended exploit behavior
  • Create or validate small runnable codebases (“environment/” repos) that include ingestion plus prompt/tool usage where the trust boundary is violated
  • Validate the attack via an exploit script and document the unsafe behavior clearly
  • Validate implementation of a patch that prevents the exploit and verify the fix is effective
  • Produce task metadata (e.g., severity mapping, exact file/line locations, impact analysis, remediation summary, references)
  • Conduct review + QC to ensure paths resolve, line ranges are correct, labels aren’t leaked, and the fix blocks the exploit


Ideal Qualifications
  • 2+ years of experience in software engineering, with a focus on application security, vulnerability research, or secure software engineering
  • Degree in Software Engineering, Computer Science, or a related field (Bachelor's minimum; advanced degree preferred)
  • Strong proficiency in Python, JavaScript, TypeScript, or other common languages found in open-source projects
  • Familiarity with version control workflows (Git, PRs, issue tracking)
  • Comfortable articulating technical reasoning in clear, structured writing


Project Timeline
  • Start Date: Immediate
  • Duration: 1–2 months
  • Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)


Application & Onboarding Process
  1. Upload your resume
  2. AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
  3. Follow-up communication within a few days with next steps and onboarding details

Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.


Contract and Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are weekly on Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.


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