Learning Designer

Mercor•San Francisco, CA

1d•Onsite

About The Position

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. 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 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 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.

Requirements

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 Haves

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

Responsibilities

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
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
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

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