Remote LLM Red Team Engineer: Edge Cases & Failures

Weekday 1; United States; Remote; USD 83,000 - 124,000; Full time

Benefits offered by this job

Fully remote

Weekly payments

Job summary

Weekday 1 is seeking analytical and technically skilled professionals for a fully remote, 35-hour-per-week role focused on red-teaming frontier AI models. You will design challenging, multi-step tasks to expose hidden vulnerabilities and evaluation gaps in real-world scenarios.

Collaborate with AI researchers to convert failure modes into high-quality benchmark tasks, contributing to robust, safe, and reliable model evaluation.

Qualifications

• Master's degree or PhD in a STEM field or equivalent practical experience.
• Minimum 1 year of AI research or related technical work experience.
• Experience identifying vulnerabilities and edge cases in LLMs or ML systems.
• Proficient in Python and Git with ability to script experiments.

Responsibilities

• Investigate frontier AI model performance across coding, ML, reasoning, and complex tasks.
• Identify hidden failure modes and edge cases that standard tests miss.
• Design evaluation tasks that are objective and reproducible.
• Document findings with clear explanations and reproducible methods.
• Collaborate with benchmark designers to refine tasks and grading criteria.
• Share insights to improve AI evaluation quality and coverage.

Skills

Analytical thinking

Attention to detail

Independent problem solving

Strong written communication

Education

Master's degree or PhD in STEM

Tools

Python

Git

Job description

Weekday 1 is seeking analytical and technically skilled professionals for a fully remote, 35-hour-per-week role focused on red-teaming frontier AI models. You will design challenging, multi-step tasks to expose hidden vulnerabilities and evaluation gaps in real-world scenarios.

Collaborate with AI researchers to convert failure modes into high-quality benchmark tasks, contributing to robust, safe, and reliable model evaluation.