KSA
AI Red Team Engineer Remote
Mercor
- Industry Type
- Logistics, Transportation, Warehousing, Courier
- Functional Area
- IT Information Technology Industry Logistics, Transportation, Warehousing, Courier
- Nationality
- Any
- Keywords
- Human Data Generation
Job Description
Mercor is looking for an AI Red Team Engineer to work remotely in Riyadh, Saudi Arabia. The role involves tasks related to data annotation, including annotating failures, classifying vulnerabilities, and flagging systemic risks. The position is in the logistics, transportation, warehousing, and courier industry.
- Position
- AI Red Team Engineer Remote
- Company
- Mercor
- Location
- Riyadh, Saudi Arabia
- Industry
- Logistics, Transportation, Warehousing, Courier
- Experience
- 1 to 20 years
Responsibilities
- Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
- Apply structure by following established taxonomies and benchmarks.
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About the role: AI Red Team Engineer Remote
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.
AI Red Team Engineers focus on testing and improving the security and reliability of artificial intelligence systems. They work to identify vulnerabilities by simulating attacks and assessing AI models, often collaborating with technology teams in logistics, transportation, and warehousing sectors. These professionals typically work remotely or within companies that develop or use AI technologies in their operations.
What this role usually involves
- Design and execute simulated attacks on AI systems to find weaknesses.
- Analyze AI model behavior under different scenarios to identify risks.
- Collaborate with AI developers to improve system security and robustness.
- Document findings and recommend improvements to AI safety measures.
- Stay updated on the latest AI security threats and mitigation techniques.
Skills employers usually look for
- Strong understanding of artificial intelligence and machine learning concepts.
- Knowledge of cybersecurity principles and attack methods.
- Ability to analyze complex systems and identify vulnerabilities.
- Good problem-solving and critical thinking skills.
- Effective communication to report findings and suggest improvements.
Usual qualifications
- A degree or diploma in computer science, artificial intelligence, cybersecurity, or a related field.
- Experience or training in AI development and security testing.
- Familiarity with programming languages commonly used in AI, such as Python.
- Certifications in cybersecurity or ethical hacking can be beneficial.
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