Learning Designer

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

• 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.

• Develop 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.

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

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

Qualifications

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

Benefits

Compensation Range: $125K