MercorVerified Source
RemoteAI & Machine LearningCybersecurity

AI Safety Experts — English & Bengali | $20-$22/hr Remote

$20–$22/hr
Posted June 28, 2026
hourly
5 openings

Overview

Neon is seeking bilingual (English & Bengali) AI safety experts to join a remote red teaming project. In this role, you'll proactively probe conversational AI models using adversarial techniques like jailbreaks and prompt injections to uncover vulnerabilities before they reach production. Your work directly contributes to making AI systems more robust and trustworthy.

What You'll Do4

  • 1Perform adversarial testing on conversational AI models, including jailbreaks, prompt injections, and bias exploitation across multi-turn interactions.
  • 2Generate high-quality human data by annotating model failures, classifying vulnerability types, and flagging systemic risks.
  • 3Apply standardized taxonomies, benchmarks, and playbooks to ensure consistent and repeatable testing processes.
  • 4Document findings into detailed reports and datasets that customers can use to harden their AI systems against real-world attacks.

Requirements3

  • 1Native or native-level fluency in both English and Bengali is mandatory.
  • 2Demonstrated experience in AI red teaming, cybersecurity penetration testing, or socio-technical probing.
  • 3A structured, adversarial mindset — you use frameworks and benchmarks, not just random attempts, to test system limits.

Who Should Apply

This role is ideal for a curious, methodical individual who enjoys breaking things ethically and can clearly communicate technical risks to diverse audiences. You should be comfortable reviewing sensitive content (with support and opt-out options), work well independently in a remote setting, and have a genuine passion for improving AI safety through hands-on adversarial evaluation.

Salary Insight

The position pays $20.00 - $22.00 per hour for remote work, with clear guidelines and wellness resources for higher-sensitivity tasks.

Application Tip

In your application, include a concrete example of a vulnerability you discovered in an AI model, chatbot, or similar system — describe the attack method you used and how your finding led to a fix. This will demonstrate your red teaming mindset and ability to produce actionable results.

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