top of page
< Back

Cyber Security Engineer

$30–$100/h

Remote

Role overview

Job Type: Contractor (~15 hrs a week)

Location: Remote

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



micro1 is selecting Cyber Security Engineers to contribute technical expertise to a dynamic customer project. 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.


What we're looking for:

  1. Analyze, debug, and resolve software bugs and vulnerabilities across diverse codebases.
  2. Implement new features and enhance existing functionality in projects using Python3, Java, Rust, Go, C++, or TypeScript.
  3. Refactor legacy code to improve maintainability, security, and performance.
  4. Perform codebase audits, penetration testing, and other security assessments to identify and mitigate risks.
  5. Contribute to backend development and optimize application performance for scalability and security.
  6. Document findings, suggest improvements, and provide real-world insights to improve AI training datasets.


Preferred Qualifications:

  1. Expertise in one or more languages: Python3, Java, Rust, Go, C++, or TypeScript.
  2. Proven experience in debugging, bug fixing, and backend development for complex systems.
  3. Strong background in cybersecurity practices, including pentesting, security audit, and vulnerability assessment.
  4. Proficiency in algorithms, codebase refactoring, and optimizing software for performance and security.
  5. Ability to communicate complex technical findings clearly and concisely.
  6. Familiarity with secure software development lifecycles and modern threat landscapes.
  7. Experience contributing to AI-related or data-driven projects is a plus, but not required.


Process:

  1. Apply to the role, filling out the screening questions
  2. Complete AI Interview (approx. 30 minutes)
  3. Technical Assessment (Tentative)
  4. 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

AI Developer Trace Task Auditor · Mercor · $70–$90/h · United States

AWS Serverless & Infrastructure-as-Code Task Auditor · Mercor · $70–$90/h · United States

Application Users - Android Studio on macOS - Code · Mercor · $55–$65/h · Remote

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →