AI Red-Teamer — Adversarial AI Testing (Advanced) — AI Training Project (Mercor)
Red-team AI models and agents: jailbreaks, prompt injections, misuse cases, exploits
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AI safety expertise is crucial for ensuring artificial intelligence systems behave responsibly and reliably. AI safety training projects rely on human reviewers to identify risks, evaluate unsafe outputs, test edge cases, and guide AI alignment with human values. Without expert oversight, AI systems cannot be deployed safely at scale.
AI safety freelance jobs transform analytical and ethical expertise into high-impact AI training work. Professionals working in AI safety and alignment help improve large language model behavior, reduce bias, and prevent harmful responses. These AI safety projects are remote, well-compensated, and essential to the future of responsible AI development.
Red-team AI models and agents: jailbreaks, prompt injections, misuse cases, exploits
Use proprietary tools to label, annotate, and evaluate data related to administrative and operational projects.
Remote red-teaming role focused on probing AI systems for vulnerabilities, misalignment, and safety issues. Help design and execute adversarial prompts and edge cases to improve AI robustness.
Evaluate and improve large language models using strong software engineering expertise across multiple programming languages.
Evaluate LLM behavior and validate large-scale code repositories.
Probe conversational AI systems using adversarial techniques such as jailbreaks, prompt injections, and bias exploitation to surface vulnerabilities and generate high-quality red team data.
Conduct adversarial testing of conversational AI models, identify systemic risks, and deliver reproducible red team artifacts.
Red team AI models through structured adversarial methods and uncover vulnerabilities missed by automated testing.
Test conversational AI systems with advanced adversarial techniques and document vulnerabilities.
Perform adversarial testing on AI systems and contribute red team data for AI safety improvements.
Conduct advanced adversarial testing on conversational AI systems to uncover vulnerabilities.
Identify systemic AI risks using structured adversarial methodologies.
Join thousands of professionals earning from AI training jobs worldwide.