AI Safety Experts — English & Indonesian | $17-$25/hr Remote
Overview
Neon is looking for bilingual AI safety experts fluent in English and Indonesian to join a human-driven red team. You'll probe advanced conversational AI models for vulnerabilities like bias, misinformation, and harmful behavior — all through text-based work. This remote, hourly role pays $17–$25/hr and gives you a direct hand in making AI systems safer before they reach the public.
What You'll Do4
- 1Red team conversational AI agents by designing adversarial inputs — jailbreaks, prompt injections, misuse cases, and multi-turn manipulation.
- 2Generate high-quality human data by annotating model failures, classifying vulnerability types, and flagging systemic risks.
- 3Follow structured taxonomies, benchmarks, and playbooks to ensure consistent and repeatable testing.
- 4Document attack cases, produce reproducible reports, and deliver datasets that customers can act on to strengthen their models.
Requirements3
- 1Native-level fluency in both English and Indonesian (written), with the ability to produce nuanced text.
- 2Prior experience in AI red teaming, adversarial ML, or cybersecurity — you've probed systems and documented vulnerabilities.
- 3A structured mindset: you use frameworks or benchmarks rather than random hacks, and you can explain risks clearly to technical and non-technical audiences.
Who Should Apply
We're looking for curious, adversarial thinkers who instinctively push AI systems to their limits. You should be comfortable with sensitive content (bias, misinformation, harmful outputs) and have a disciplined approach to testing — you don't just break things, you catalog exactly how and why. A background in psychology, creative writing, or socio-technical risk analysis is a plus, but the core trait is an irresistible urge to find the edge case.
Salary Insight
The role pays $17.00–$25.00 per hour on a remote, contract basis.
Location
Required Skills
Application Tip
In your application, include a short write-up of one specific adversarial test you've run — describe the input, the model's response, and what vulnerability it revealed. This will immediately show you understand the structured, reproducible approach we need.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
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