Learning Designer

Навыки

• Коммуникация
• HR-процессы
• Лидерство
• LLM
• Machine Learning
• Техническая документация

О компании и продукте

• Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
• Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
• 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:

Требования

• 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

Будет плюсом

• 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

Паспорт вакансии

История публикации

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