Learning Designer

Mercor Alabaster

$90K — $120K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in learning design or instructional design
  • Strong pedagogical foundation for effective skill-building
  • Excellent writing and communication skills
  • Experience with creating task documentation
  • Ability to diagnose instructional problems effectively
  • Experience creating multi-format content
  • Comfort with ambiguity and rapid iteration
  • Systems thinking orientation towards operational excellence

Responsibilities

  • Review and improve project guidelines and instruction documents
  • Transform complex task specs into clear instructional materials
  • Partner with project teams to identify documentation gaps
  • Build centralized academy programs for complex data types
  • Create structured upskilling pathways for talent experts
  • Develop assessments and certification frameworks
  • Design training curricula for internal employees across project lifecycles

Benefits

  • Opportunity to work in a profitable Series C company
  • Innovative environment at the intersection of labor markets and AI
  • Collaboration with leading researchers and AI companies
  • Five-day in-person work week in a new San Francisco headquarters
  • Impactful work that directly contributes to AI training advancements
Full Job Description
About the Role

We're looking for a Learning Designer to build the instructional infrastructure that powers Mercor's human data operations - both for our internal teams and the thousands of talent experts who execute complex AI training tasks.

Your work will span three key areas:
  1. Project-level instructional design:
    • Review and improve project guidelines, rubrics, and instruction documents to maximize clarity and task performance for our talent experts to complete data annotation and evaluation work
    • Transform complex task specifications into well-structured instructional materials that talent experts can follow accurately
    • Partner with project teams to identify where documentation gaps are causing quality issues and design solutions
  2. Centralized learning academies:
    • Build centralized academy programs for complex data types related to post-training for LLMs
    • Create structured upskilling pathways that prepare talent experts for increasingly sophisticated project work
    • Develop assessments and certification frameworks that validate readiness for specific project types
  3. Internal training systems:
    • Design and develop training curricula for internal Mercor employees across the full project lifecycle - from onboarding fundamentals to advanced client-facing skills
    • Build competency-based learning paths that progress from foundational concepts to applied expertise
    • Develop evaluation and certification systems to ensure consistent quality and skill development across teams

You'll be designing learning experiences that develop genuine expertise, whether that's teaching an SPL to run a client conversation or helping a talent expert understand the nuances of turning their expertise into a rubric that can evaluate LLM responses. Your work directly impacts the quality of data that trains frontier AI systems.

What We're Looking For
  • 2+ years of experience in learning design, instructional design, curriculum development, or technical writing
  • Strong pedagogical foundation - you understand how people actually learn and can design experiences that build real skills, not just surface familiarity
  • Excellent writing and communication skills - you can make complex concepts clear and actionable for diverse audiences
  • Experience creating task documentation or procedural guides - you know how to write instructions that people can actually follow
  • Ability to diagnose instructional problems - when task quality suffers, you can identify whether it's a training gap, a documentation issue, or something else
  • Experience creating multi-format content (written documentation, video, interactive exercises, assessments)
  • Comfort with ambiguity and rapid iteration - we're building systems in a fast-moving environment, and you'll need to ship and improve continuously
  • Systems thinking orientation - you see how individual skills connect to broader operational excellence

Nice to Have
  • Experience in tech, AI/ML, or data operations environments
  • Experience building training programs at high-growth startups
  • Background in teaching, coaching, or educational leadership
  • Familiarity with data annotation, labeling, or evaluation workflows
  • Background in training for client-facing or sales roles

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