AI Safety Experts - English & Finnish

About the role

This role is for one of our clients

Compensation: $48 - $62 per hour

Fluent Language Skills Required: English & Finnish. Native fluency in English and Finnish is required for this position.

Why This Role Exists

We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

Requirements

What You’ll Do

Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation

Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks

Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent

Document reproducibly: produce reports, datasets, and attack cases customers can act on

Who You Are

You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)

You’re curious and adversarial: you instinctively push systems to breaking points

You’re structured: you use frameworks or benchmarks, not just random hacks

You’re communicative: you explain risks clearly to technical and non-technical stakeholders

You’re adaptable: thrive on moving across projects and customers

Nice-to-Have Specialties

Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction

Cybersecurity: penetration testing, exploit development, reverse engineering

Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing

Creative probing: psychology, acting, writing for unconventional adversarial thinking

What Success Looks Like

You uncover vulnerabilities automated tests miss

You deliver reproducible artifacts that strengthen customer AI systems

Evaluation coverage expands: more scenarios tested, fewer surprises in production

Posting text as published by Weekday AI.

The evidence behind this listing

Workplace

Remote Employer field

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Location as listed

United States

Pay and work authorization

Stated pay

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