- 经验
- 2年以上
- 薪水
- USD 125,000 – USD 125,000 / year
- 职位空缺
- 1
- 发布
- 2小时前
- 工作模式
- 在办公室
- 恢复
- 需要申请
你的工作地点
职位描述
About Mercor
Mercor is dedicated to organizing human intelligence to fuel the AI economy, collaborating with top AI laboratories and enterprises by supplying the essential human insights that go beyond programming. With a network exceeding 30,000 professionals earning collectively over $3 million daily, Mercor represents a pioneering company valued at $10 billion in its Series C funding. They maintain offices in San Francisco, New York City, and London, with work primarily conducted in-person five days a week.
Role Overview
The Learning Designer will establish the educational frameworks that support Mercor’s human data operations, serving both internal teams and the expansive network of experts managing intricate AI training projects. This role spans three focal points:
- Developing instructional content at the project level to enhance clarity and effectiveness for talent experts involved in data annotation and evaluation.
- Creating centralized learning academies focused on upskilling talent for cutting-edge data types, establishing certification and assessment paths.
- Designing internal training curricula that foster skills development for Mercor employees, from onboarding through advanced client engagements, alongside competency-based pathways and certification systems ensuring excellence.
As a Learning Designer, you will craft educational experiences that cultivate authentic expertise, improving the quality of data vital for AI systems.
Candidate Profile
- Minimum 2 years’ experience in instructional or learning design, curriculum development, or technical writing.
- Strong understanding of learning theory and ability to design programs that build deep skills.
- Exceptional communication and writing skills to clarify complex information for diverse groups.
- Experience producing actionable task documentation and procedural materials.
- Analytical skills to identify instructional deficiencies impacting project quality.
- Capability to create content in multiple formats including text, videos, interactive exercises, and assessments.
- Adaptability to fast-paced, evolving environments, embracing iterative development.
- A systems thinking approach linking individual competencies to overall operational success.
Preferred Qualifications
- Background in technology, AI/ML, or data operations contexts.
- Experience designing training for high-growth startup environments.
- History in teaching, coaching, or educational leadership roles.
- Knowledge of data annotation, labeling, or evaluation processes.
- Experience training client-facing or sales teams.
Compensation and Location
The position is based full-time onsite in San Francisco, CA, with an anticipated salary of $125,000 annually.