[Hiring] AI Learning Systems Specialist - Build / Design @Pickle
AI Learning Systems Specialist - Build / Design @Pickle
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type contract
Posted 5d ago

[Hiring] AI Learning Systems Specialist - Build / Design @Pickle

5d ago - Pickle is hiring a remote AI Learning Systems Specialist - Build / Design. πŸ’Έ Salary: unspecified πŸ“Location: GMT (UTC+0)

Role Description

You will support the design and development of practical AI-enabled learning systems, workflows, and technical learning experiences that help learners understand and apply AI tools in real-world environments. The successful candidate will combine hands-on AI implementation experience with the ability to translate complex concepts into accessible and engaging learner experiences. This is a highly collaborative role requiring someone comfortable operating across experimentation, tooling, workflow design, learning systems, prototyping, QA, and implementation.

Key Responsibilities

  • Design and support AI-enabled learning systems and technical learning experiences
  • Help shape AI Builder curriculum content, workflows, labs, and learner journeys
  • Create and review practical AI exercises, prompts, demos, and workflow examples
  • Prototype AI-enabled workflows, automations, copilots, or learning experiences
  • Support technical QA and testing across AI learning products and experiences
  • Translate complex AI concepts into practical learner-friendly experiences
  • Collaborate closely with instructional designers, production teams, and technical stakeholders
  • Evaluate emerging AI tools, workflows, and platforms for learning use cases
  • Support facilitator guidance, learner enablement materials, and technical documentation
  • Contribute to experimentation, iteration, and continuous improvement across AI learning products
  • Identify technical risks, usability challenges, and implementation considerations early
  • Support scalable and commercially relevant approaches to AI-enabled learning experiences

Qualifications

  • Strong hands-on experience using modern AI tools, platforms, or workflows in practice
  • Experience building, testing, or implementing AI-enabled workflows, copilots, automations, assistants, or user experiences
  • Comfortable working in fast-moving, evolving technical environments
  • Ability to explain technical AI concepts clearly to non-technical audiences
  • Strong implementation, experimentation, and problem-solving mindset
  • Experience supporting technical learning, enablement, education, or product adoption initiatives
  • Excellent communication and stakeholder collaboration skills
  • Ability to bridge technical and non-technical conversations effectively

Requirements

  • Experience within learning technology, developer education, technical training, or AI enablement environments
  • Exposure to OpenAI APIs, prompt engineering, workflow automation, or AI agent tooling
  • Experience creating labs, sandbox exercises, workshops, walkthroughs, or facilitator-led learning experiences
  • Experience collaborating with instructional design or learning production teams
  • Consulting, freelance, or transformation programme experience
  • Experience evaluating practical enterprise use cases for AI adoption

Benefits

  • Flexible remote working environment
  • Opportunity to grow into greater project ownership
  • Exposure to multiple projects and delivery teams
  • Collaborative, fast-paced environment with strong development potential
Before You Apply
️
remote Be aware of the location restriction for this remote position: GMT (UTC+0)
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AI Learning Systems Specialist - Build / Design @Pickle
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type contract
Posted 5d ago
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remote Be aware of the location restriction for this remote position: GMT (UTC+0)
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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Application Denied βœ“
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