As listed by Weekday, in USD. Across 440 Languages roles with an hourly rate, the median is $22 and half sit between $13 and $35 (midpoint of each listed range).Estimate a week at this rate
Shown here untilrenewed each day Weekday still lists it
Listed on Weekday since at least 24 Oct, the first day we read Weekday; last read 27 Oct.
History of this listing
First seen on the first day we read Weekday. It may have been posted earlier.
Only the days something changed in the listing. We read every platform once a day.
From the Weekday listing
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