Operations Engineer – Remote, $15/hr

About the role

We are looking for a short‑term Operations Engineer to design and develop multi‑agent benchmark tasks that simulate real‑world planning, scheduling and resource allocation problems. This remote contract lasts four weeks and requires 20‑40 hours per week with a few hours of overlap with Pacific Standard Time.

Key responsibilities

• Design multi‑agent benchmark tasks covering logistics, project management, incident response and capacity planning.
• Create constraint‑rich problem statements with multiple dependencies and variables.
• Write Python scripts to evaluate feasibility, completeness and optimality of task solutions.
• Decompose complex operational problems into structured sub‑tasks for multi‑agent systems.
• Model scenarios with timelines, dependencies and resource constraints.
• Collaborate with internal teams to improve task quality, coverage and evaluation rigor.

Required profile

• Strong experience in operations, project management, logistics or supply‑chain domains.
• Deep understanding of constraints, dependencies and scheduling logic.
• Proficiency in Python for validation and verification scripting.
• Excellent structured problem‑solving and technical documentation skills.
• Ability to work quickly in a fast‑paced environment and meet tight deadlines.

Required skills

• Python
• Docker
• Linear programming
• Constraint satisfaction
• Scheduling algorithms
• Simulation or modeling tools
• AI planning systems
• AI benchmark frameworks (e.g., SWE‑bench, Terminal‑bench)