Cybersecurity Expert Vulnerability Research AI Training

OpenTrain AI, Inc.; United Arab Emirates; Remote; AED 313,000 - 446,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Cybersecurity Expert for vulnerability research to support AI training. You will build realistic vulnerable repositories, craft patches, and assess security quality to ensure robust handling of real-world issues.

The role is remote, part-time, contract-based, with hourly compensation of $75. You will work asynchronously with flexible scheduling and must have hands-on cybersecurity or vulnerability research experience.

Qualifications

• At least one year of hands-on cybersecurity or vulnerability research experience.
• Experience in security auditing or related work is preferred.
• Bachelor's degree in computer science or a related field is required.
• Ability to write and patch code in C, C++, or similar low-level languages.
• Familiarity with fuzzing tools and OSS-Fuzz-style research is helpful.

Responsibilities

• Create code repositories containing realistic OSS-Fuzz-style vulnerabilities.
• Develop and validate patches that correctly fix the vulnerabilities.
• Use cybersecurity and security-auditing judgment to assess repository and patch quality.
• Complete project tasks independently in a fully asynchronous workflow.

Skills

Vulnerability research

Security auditing

C/C++ coding

Fuzzing tools

Education

Bachelor's degree in Computer Science or related field

Tools

OSS-Fuzz

Job description

Cybersecurity Expert Vulnerability Research AI Training

Create realistic vulnerable code repositories, develop correct patches, and review their security quality for AI training. This flexible, asynchronous project pays $75 per hour.

Remote Hourly · $75/hr

$75/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open in 95 countries

United States + more

• Albania
• Algeria
• Antigua and Barbuda
• Armenia
• Australia
• Austria
• Bahamas
• Bahrain
• Belgium
• Benin
• Bhutan
• Bosnia and Herzegovina
• Botswana
• Brunei
• Bulgaria
• Canada
• Costa Rica
• Côte d'Ivoire
• Croatia
• Cyprus
• Czechia
• Denmark
• Ecuador
• El Salvador
• Estonia
• Ethiopia
• Finland
• France
• Gambia
• Germany
• Greece
• Guatemala
• Guyana
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Ireland
• Israel
• Italy
• Jamaica
• Jordan
• Kenya
• Kuwait
• Latvia
• Liechtenstein
• Lithuania
• Luxembourg
• Madagascar
• Malaysia
• Malta
• Mauritius
• Mexico
• Moldova
• Mongolia
• Morocco
• Mozambique
• Namibia
• Netherlands
• New Zealand
• North Macedonia
• Norway
• Oman
• Pakistan
• Panama
• Peru
• Philippines
• Poland
• Portugal
• Qatar
• Romania
• Rwanda
• Saint Lucia
• Senegal
• Serbia
• Singapore
• Slovakia
• Slovenia
• South Africa
• Spain
• Sri Lanka
• Sweden
• Switzerland
• Taiwan
• Tanzania
• Thailand
• Trinidad and Tobago
• Tunisia
• Türkiye
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will help train AI models on real-world cybersecurity and vulnerability research workflows. The work uses hands‑on security judgment, code creation, patching, and review.

• Create code repositories containing realistic OSS‑Fuzz‑style vulnerabilities.
• Develop and validate patches that correctly fix the vulnerabilities.
• Use cybersecurity and security‑auditing judgment to assess whether repositories and patches are technically sound.
• Complete project tasks independently in a fully asynchronous workflow.

What it pays and takes

This is a paid, part‑time, project‑based contractor opportunity with flexible scheduling. Tasks can fit around other professional commitments.

• $75 per hour.
• Part‑time project work with no set hours or required meetings.
• Open to candidates in the listed countries, including the United States, Canada, Australia, and the United Kingdom.
• At least one year of hands‑on experience in cybersecurity or vulnerability research.
• Experience in security auditing or related work.
• A bachelor's degree in computer science or a related field.
• Ability to write and patch code in C, C++, or similar low‑level languages.
• Experience with fuzzing tools and OSS‑Fuzz‑style vulnerability research is helpful.

About AI training work

AI training is the human work behind systems that learn from examples, including code, written responses, images, and other data. Experienced specialists are paid for applying careful technical judgment that helps models produce safer and more useful results.

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