JV
Quality Assurance Tester
Accepting applicationsJobs via Dice · United States
Full-Time Mid_senior AIMachine LearningSOCaiarm
Posted
1d ago
Category
Test
Experience
Mid_senior
Country
United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mind Ware Inc, is seeking the following. Apply via Dice today!
Title: QA Engineer
Location: Remote
Rate Range: $55- $58 (W-2)
VISA: U.S. Citizens, , L2
NO H1Bs
NO C2C allowed. Candidate MUST WORK on W2.
Description:
Quality Assurance Tester
Responsible for:
Developing and implementing global security strategies
Overseeing security architecture and enablement
Delivering regional security services
Supporting secure digital transformation initiatives
Collaborating with member firms to ensure consistent security standards
The Red Team Tester will conduct testing of AI models to find vulnerabilities, develop new evaluation frameworks, communicate risks to stakeholders across the global teams and the network of member firms, and collaborate with defensive and development teams.
Key accountabilities:
% of time | Accountability
10% Design and execute comprehensive adversarial testing campaigns against AI models, including but not limited to large language models, multimodal systems, and autonomous agents.
10% Research attack vectors and prompt injection techniques to identify model vulnerabilities, jailbreaks, and unintended behaviors. Evaluate and introduce AI Security tools that decrease mean time to detect and respond to AI-specific threats.
50% Conduct red team exercises simulating real-world deployment scenarios and edge cases. Systematically probe for bias, toxicity, misinformation generation, and other harmful outputs across diverse contexts and demographics. Improve firm’s security posture against emerging AI threats. Concentration is on executing standardized security tests.
10% Create adversarial datasets and benchmarks to evaluate model robustness under various attack conditions.
10% Collaborate with security teams (e.g., GSOC, member firm security teams, developers) to perform red teaming activities, and document and present findings, vulnerabilities, and remediation recommendations to drive the mitigation of identified risks.
10% Develop and maintain process documentation, create reports on testing activities, track operational metrics, and perform other programmatic tasks as required to support the AI Red Team''s function.
Required Skills:
Minimum 5 years of penetration testing, red team operations, or AI Red Team experience.
Computer science, information technology, programming, development, Artificial Intelligence, or cybersecurity degree (Bachelor''s or higher preferred) from an accredited college or university or equivalent work experience.
Background in AI red teaming, red teaming, or offensive cyber operations.
Understanding of Artificial Intelligence, Machine Learning, software applications, cloud computing, and networking. Excellent communication and stakeholder management skills.
Ability to work effectively across geographies.
Would like a candidate who can also code, any language is fine just wants them to have knowledge of it.
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Title: QA Engineer
Location: Remote
Rate Range: $55- $58 (W-2)
VISA: U.S. Citizens, , L2
NO H1Bs
NO C2C allowed. Candidate MUST WORK on W2.
Description:
Quality Assurance Tester
Responsible for:
Developing and implementing global security strategies
Overseeing security architecture and enablement
Delivering regional security services
Supporting secure digital transformation initiatives
Collaborating with member firms to ensure consistent security standards
The Red Team Tester will conduct testing of AI models to find vulnerabilities, develop new evaluation frameworks, communicate risks to stakeholders across the global teams and the network of member firms, and collaborate with defensive and development teams.
Key accountabilities:
% of time | Accountability
10% Design and execute comprehensive adversarial testing campaigns against AI models, including but not limited to large language models, multimodal systems, and autonomous agents.
10% Research attack vectors and prompt injection techniques to identify model vulnerabilities, jailbreaks, and unintended behaviors. Evaluate and introduce AI Security tools that decrease mean time to detect and respond to AI-specific threats.
50% Conduct red team exercises simulating real-world deployment scenarios and edge cases. Systematically probe for bias, toxicity, misinformation generation, and other harmful outputs across diverse contexts and demographics. Improve firm’s security posture against emerging AI threats. Concentration is on executing standardized security tests.
10% Create adversarial datasets and benchmarks to evaluate model robustness under various attack conditions.
10% Collaborate with security teams (e.g., GSOC, member firm security teams, developers) to perform red teaming activities, and document and present findings, vulnerabilities, and remediation recommendations to drive the mitigation of identified risks.
10% Develop and maintain process documentation, create reports on testing activities, track operational metrics, and perform other programmatic tasks as required to support the AI Red Team''s function.
Required Skills:
Minimum 5 years of penetration testing, red team operations, or AI Red Team experience.
Computer science, information technology, programming, development, Artificial Intelligence, or cybersecurity degree (Bachelor''s or higher preferred) from an accredited college or university or equivalent work experience.
Background in AI red teaming, red teaming, or offensive cyber operations.
Understanding of Artificial Intelligence, Machine Learning, software applications, cloud computing, and networking. Excellent communication and stakeholder management skills.
Ability to work effectively across geographies.
Would like a candidate who can also code, any language is fine just wants them to have knowledge of it.
Show more Show less