Position: SwarmBench Task Engineer Planning / Operations

Type: Contractor (Short-term 4 weeks)

Compensation: $15.3/hour

Location: Remote

Commitment: 20-40 hours/week (with 4 hours overlap with PST)

Role Responsibilities

• Design and develop multi-agent benchmark tasks involving planning, scheduling, and resource allocation. Create real-world operational scenarios (logistics, project management, incident response, capacity planning)
• Build constraint-rich problem statements with multiple dependencies and variables
• Develop Python-based scripts to evaluate feasibility, completeness, and optimality
• Break down complex problems into structured sub-tasks for multi-agent systems
• Model scenarios with timelines, dependencies, and resource constraints
• Collaborate with teams to improve task quality, coverage, and evaluation rigor

Requirements

• Strong experience in operations, project management, logistics, or supply chain
• Strong understanding of constraints, dependencies, and scheduling logic
• Proficiency in Python for validation and verification scripting
• Strong structured problem-solving and decomposition skills
• Ability to model real-world operational scenarios
• Clear technical communication and documentation skills
• Ability to work in a fast-paced environment and meet deadlines

Preferred Qualifications

• Experience with optimization techniques (linear programming, constraint satisfaction, scheduling algorithms)
• Background in operations research
• Experience with simulation or modeling tools
• Familiarity with AI planning systems or automated reasoning
• Experience with AI benchmarks (e.g., SWE-bench, Terminal-bench)
• Hands-on experience with Docker

Application Process

• Apply via Easy Apply
• Receive Role Details & Google Form via Email
• Shortlisted Candidates Receive Interest Check Form (ICF)
• Complete the Interest Check Form, Online Assessment & Take-Home Assessment
• Final Selection & Onboarding