Adversarial AI Testing Specialist (LLM Red Teaming) | $28.74/hr Remote

Crossing Hurdles; Brasil; On-site; BRL 207,506; Full time

Job summary

A leading cybersecurity firm is seeking individuals for a remote role focused on red teaming conversational AI models. The responsibilities include identifying AI vulnerabilities and generating human data to enhance security systems. Candidates must have native fluency in English and Brazilian Portuguese, alongside prior experience in adversarial testing. This position provides a unique opportunity to contribute to the safety and reliability of AI technologies with a strong emphasis on methodical testing and clear communication.

Qualifications

• Native-level fluency in English and Brazilian Portuguese.
• Prior experience in AI red teaming or adversarial testing.
• Structured and methodical testing approaches.

Responsibilities

• Red team conversational AI models and agents for vulnerabilities.
• Generate human data by annotating failures and classifying risks.
• Ensure consistent adversarial testing through structured benchmarks.

Skills

Fluent in English

Fluent in Brazilian Portuguese

Strong adversarial mindset

Clear written communication

Job description

Type: Hourly contract (Full-time or Part-time)

Compensation: $28.74/hour

Location: Remote

Role Responsibilities

• Red team conversational AI models and agents (jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation).
• Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
• Apply structured taxonomies, benchmarks, and playbooks to ensure consistent adversarial testing.
• Produce reproducible reports, datasets, and attack cases customers can act on.
• Identify vulnerabilities missed by automated evaluation systems.

Requirements

• Native-level fluency in English and Brazilian Portuguese (required).
• Prior experience in AI red teaming, adversarial testing, cybersecurity, or socio-technical risk analysis.
• Strong adversarial mindset with structured, methodical testing approaches.
• Clear written communication for technical and non-technical stakeholders.
• Comfortable reviewing sensitive AI-generated content (guidelines and wellness support provided).