SafetyTech Client #1 | Adversarial Task Writer for AI Security RL Gyms
Summary
Design prompt injection scenarios in YAML to test AI agent safety policies, running tests against frontier models and validating success rates.
On behalf of SafetyTech Client #1, SD Solutions is looking for a talented Adversarial Task Writer for AI Security RL Gyms.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
You design prompt injection scenarios in YAML, run them against frontier models, validate success rates, and submit passing tasks. 5 high-quality tasks per week (full-time equivalent). Per-task compensation, paid on acceptance.
Requirements:
- Adversarial mindset: you think like an attacker and understand how to exploit an AI agent’s helpfulness, authority assumptions, or trust in its environment
- Prompt injection expertise: direct (role-play, encoding, context flooding) and indirect/environment-embedded (poisoned tool responses, malicious content in documents, cross-context leakage)
- Technical writing in YAML
- Comfortable with Docker, CLI tools, and running systematic tests against multiple models
- Domain realism in at least one vertical: e-commerce, finance, HR, enterprise SaaS, healthcare, travel
- Background in pentesting, appsec, LLM security research, or red teaming strongly preferred
The Task
You build adversarial prompt injection tasks for Alice’s RL Gym platform. Each task is a self-contained YAML scenario simulating a realistic AI agent deployment, testing whether the agent can be manipulated into violating its safety policies.
About the company:
A company building specialized evaluation infrastructure for AI safety and robustness testing. Their platform simulates adversarial conditions used by AI development teams to validate agent behavior before deployment. Currently expanding a freelance contributor pool for scenario and environment development.
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