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Remote, popular AI Engineer title attracts applicants, but niche RL environment skills and small brand moderate competition.
Requires specialized RL/environment and agent-evaluation experience, limiting cross-industry transferability.
Mandatory Python, Linux, AI experience and immediate availability enforce moderate filtering.
Design and create realistic, multi-step AI tasks using real Linux desktop environments, including files like documents, spreadsheets, and emails.
Develop Python scripts to set up testing environments and automatically score AI agent outputs efficiently and accurately.
Test, document, and deliver tasks that effectively evaluate AI agents’ ability to perform real-world computer work scenarios.
Proficient in Python scripting with experience in writing and debugging.
Experience working with AI or ML projects, AI companies, or AI agent evaluations.
Comfortable with Ubuntu/Linux environments and virtual machines, including terminal and desktop usage.
Work Experience Required: Not explicitly mentioned in the JD.
Regular heavy user of AI coding tools and models with proven ability to generate good output from them.
Experienced in building or working with reinforcement learning (RL) environments or computer-use agent benchmarks.
Capable of producing precise instructions and automated checks ensuring task clarity and correctness under review constraints.