SwarmBench Task Engineer – Planning & Operations

About the role

The SwarmBench Task Engineer will design and implement multi‑agent benchmark tasks that simulate real‑world planning, scheduling and resource‑allocation challenges. This short‑term contract role is fully remote and supports the development of AI planning and operations research benchmarks.

Key responsibilities

• Design multi‑agent benchmark tasks covering logistics, project management, incident response and capacity planning.
• Create constraint‑rich problem statements with multiple dependencies, variables and resource limits.
• Develop Python scripts to evaluate task feasibility, completeness and optimality.
• Decompose complex operational problems into structured sub‑tasks for multi‑agent systems.
• Model scenarios with timelines, dependencies and resource constraints.
• Collaborate with cross‑functional 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 in a fast‑paced environment and meet tight deadlines.

Required skills

• Python programming.
• Docker (hands‑on experience).

What we offer

• Short‑term contract (4 weeks) with a rate of $15 per hour.
• Fully remote work with flexible hours and a required 4‑hour overlap with Pacific Standard Time.