Position: SwarmBench Task Engineer — Planning / OperationsType: Contractor (Short-term – 4 weeks)Compensation: $15/hourLocation: RemoteCommitment: 20–40 hours/week (with 4 hours overlap with PST)Role ResponsibilitiesDesign and develop multi-agent benchmark tasks involving planning, scheduling, and resource allocationCreate real-world operational scenarios (logistics, project management, incident response, capacity planning)Build constraint-rich problem statements with multiple dependencies and variablesDevelop Python-based scripts to evaluate feasibility, completeness, and optimalityBreak down complex problems into structured sub-tasks for multi-agent systemsModel scenarios with timelines, dependencies, and resource constraintsCollaborate with teams to improve task quality, coverage, and evaluation rigorRequirements5+ years of experience in operations, project management, logistics, or supply chainStrong understanding of constraints, dependencies, and scheduling logicProficiency in Python for validation and verification scriptingStrong structured problem-solving and decomposition skillsAbility to model real-world operational scenariosClear technical communication and documentation skillsAbility to work in a fast-paced environment and meet deadlinesPreferred QualificationsExperience with optimization techniques (linear programming, constraint satisfaction, scheduling algorithms)Background in operations researchExperience with simulation or modeling toolsFamiliarity with AI planning systems or automated reasoningExperience with AI benchmarks (e.g., SWE-bench, Terminal-bench)Hands-on experience with DockerApplication ProcessApply via Easy Apply / shared link and complete the Interest Check Form (ICF)Complete the take-home assessment (post-shortlisting)Shortlisted candidates will be reviewed furtherThe team will connect with next steps