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This job expired on 02/08/2026. It no longer accepts applications.

Operations Analyst – Remote, $15/hr

Crossing Hurdles

Remote
Contrato Remote 🇬🇧 English
Python Docker Linear programming Constraint satisfaction Scheduling algorithms

Job description

About the role

We are seeking a remote Operations Analyst to design and develop multi‑agent benchmark tasks that simulate real‑world operational scenarios such as logistics, project management, and incident response. This short‑term contract role offers flexible hours and a competitive rate of $15 per hour.

Key responsibilities

  • Design and develop multi‑agent benchmark tasks involving planning, scheduling, and resource allocation.
  • Create realistic operational scenarios with constraints, dependencies, and variable resources.
  • Build constraint‑rich problem statements and break complex problems into structured sub‑tasks.
  • Develop Python scripts to evaluate feasibility, completeness, and optimality of solutions.
  • 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.
  • Deep understanding of constraints, dependencies, and scheduling logic.
  • Proficiency in Python for validation and verification scripting.
  • Excellent structured problem‑solving and decomposition skills.
  • Ability to model real‑world operational scenarios and communicate technical details clearly.
  • Capacity to work in a fast‑paced environment and meet deadlines.

Required skills

  • Python programming
  • Docker (hands‑on experience)
  • Linear programming
  • Constraint satisfaction techniques
  • Scheduling algorithms

What we offer

  • Short‑term (4‑week) contract
  • $15 per hour compensation
  • Remote work with 20‑40 hours per week
  • Requirement to overlap 4 hours with Pacific Standard Time

Questions fréquentes

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Le contrat proposé est un Contrato.

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Published 3 months ago

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