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Process Optimization Engineer | Remote

Remote / Online - Candidates ideally in
Las Cruces, Dona Ana County, New Mexico, 88001, USA
Listing for: Crossing Hurdles
Remote/Work from Home position
Listed on 2026-06-04
Job specializations:
  • Engineering
    Chemical Engineer, Process Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Develop and document safety procedures for chemical equipment operations and reaction processes while ensuring regulatory compliance.
  • Troubleshoot and provide expert guidance on chemical manufacturing challenges through practical AI model training scenarios.
  • Monitor, analyze, and interpret experimental and operational data to refine AI system outputs and understanding.
  • Evaluate and recommend improvements to chemical equipment and processes to optimize efficiency and regulatory adherence.
  • Design, plan, and review equipment layouts to enhance safety, scalability, and operational efficiency, incorporating insights into AI training datasets.
  • Collaborate with multidisciplinary teams to improve communication between domain experts and AI systems.
  • Contribute to continuous improvement efforts by identifying gaps in AI knowledge and creating targeted training materials.
Requirements
  • Bachelor’s or Master’s degree in Chemical Engineering or a closely related discipline.
  • Strong foundation in chemical process engineering, safety standards, and data analysis.
  • Excellent written and verbal communication skills, capable of translating complex concepts clearly.
  • Proven ability to troubleshoot and optimize chemical manufacturing systems.
  • Experience developing or applying safety protocols within chemical environments.
  • Strong analytical thinking skills with attention to detail and commitment to continuous learning.
  • Comfortable working in a remote, collaborative environment using digital communication tools.
  • Experience with AI model training or data-driven initiatives preferred.
  • Familiarity with regulatory frameworks such as OSHA, EPA, or REACH preferred.
  • Experience working within cross-functional teams focused on safety and process optimization preferred.
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