AI Operations & Workflow Optimizer

Mainerafting

Portland (ME)

Hybrid

USD 60,000 - 70,000

Full time

14 days+

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Job summary

HistoryIT seeks an AI Operations Analyst to help transform how AI-assisted production systems are evaluated, tested, and deployed across the company. The role combines analytics, documentation, and cross-team collaboration to improve efficiency and quality.

You will work with leadership, services, and software teams to identify bottlenecks, design repeatable solutions, and build standards for performance measurement. Remote or onsite work is possible.

Qualifications

  • Strong understanding of AI tools and modern AI workflows.
  • Exceptional systems-thinking and problem-solving abilities.
  • Experience analyzing, improving, documenting, or managing processes.
  • Strong organizational skills and attention to detail.
  • Excellent written communication skills.
  • Comfort working with data, spreadsheets, and structured information.
  • Ability to learn complex workflows quickly.
  • Ability to work independently in a fast-moving environment.

Responsibilities

  • Learn and understand HistoryIT's production workflows from intake to final delivery.
  • Improve AI-assisted workflows by evaluating outputs, testing prompts, and identifying bottlenecks.
  • Develop recommendations to increase efficiency and quality in operations.
  • Create and maintain workflow documentation, SOPs, and training materials.
  • Track workflow performance and support rollout of new processes.
  • Collaborate with Services, Software Development, and Leadership teams to translate challenges into improvements.

Skills

AI tools
Systems thinking
Process improvement
Data analysis
Documentation

Education

Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, or Engineering

Job description

HistoryIT seeks an AI Operations Analyst to help transform how AI-assisted production systems are evaluated, tested, and deployed across the company. The role combines analytics, documentation, and cross-team collaboration to improve efficiency and quality.

You will work with leadership, services, and software teams to identify bottlenecks, design repeatable solutions, and build standards for performance measurement. Remote or onsite work is possible.

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