KSA
Bilingual AI Adversarial Analyst 32hr
Mercor
- Industry Type
- Software Services
- Functional Area
- Data AnalysisQuality Assurance Industry SoftwareServices
- Nationality
- Any
- Keywords
- Data Annotation Vulnerability Classification Risk Flagging Taxonomy and Benchmark Adherence
Job Description
Mercor is looking for a Bilingual AI Adversarial Analyst to work in Riyadh, Saudi Arabia. The role involves generating high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks using established taxonomies and benchmarks.
- Position
- Bilingual AI Adversarial Analyst 32hr
- Company
- Mercor
- Location
- Riyadh, Saudi Arabia
- Industry
- Software Services
- Experience
- 1 to 20 years
Responsibilities
- Generate high-quality human data by annotating failures.
- Classify vulnerabilities.
- Flag systemic risks.
- Apply structure by following established taxonomies and benchmarks.
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About the role: Bilingual AI Adversarial Analyst 32hr
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
A Bilingual AI Adversarial Analyst works to identify and address vulnerabilities in artificial intelligence systems by simulating attacks and analyzing weaknesses. They typically work in technology companies, software development firms, or cybersecurity departments, often collaborating with AI developers and security teams.
What this role usually involves
- Conduct adversarial testing on AI models to find security gaps.
- Analyze AI system behaviors to detect potential threats or weaknesses.
- Develop strategies to improve AI robustness against attacks.
- Collaborate with AI developers to implement security improvements.
- Prepare reports on findings and recommend solutions.
- Stay updated on the latest AI security trends and techniques.
Skills employers usually look for
- Strong understanding of artificial intelligence and machine learning concepts.
- Ability to analyze complex systems and identify vulnerabilities.
- Proficiency in at least two languages for effective communication and analysis.
- Problem-solving and critical thinking skills.
- Good communication skills for reporting and teamwork.
- Familiarity with cybersecurity principles and tools.
Usual qualifications
- A degree or diploma in computer science, artificial intelligence, cybersecurity, or related fields is usually expected.
- Knowledge of programming languages commonly used in AI development.
- Experience or training in AI security or adversarial machine learning is beneficial.
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