Learning Designer • Mid-Level

Who you are

You have a strong background in instructional design, with experience in creating clear and effective educational materials that enhance task performance. You understand how to transform complex specifications into structured instructional content that guides talent experts in their work. Your ability to identify documentation gaps and improve project guidelines is key to ensuring quality outcomes in data annotation and evaluation tasks.

You thrive in collaborative environments, partnering with project teams to address challenges and enhance the instructional framework. Your experience in tech, AI/ML, or data operations environments gives you a unique perspective on the needs of talent experts. You may have a background in teaching, coaching, or educational leadership, which informs your approach to building training programs.

Desirable

Experience in high-growth startups is a plus, as is familiarity with data annotation, labeling, or evaluation workflows. You may also have a background in training for client-facing or sales roles, which adds to your versatility in instructional design.

What you'll do

In this role, you will be responsible for building the instructional infrastructure that supports Mercor's human data operations. This includes reviewing and improving project guidelines, rubrics, and instructional documents to maximize clarity and task performance. You will transform complex task specifications into well-structured instructional materials that talent experts can follow accurately, ensuring that they can complete data annotation and evaluation work effectively.

You will partner with project teams to identify where documentation gaps are causing quality issues, and your insights will help shape the instructional materials that guide our talent experts. Your work will directly impact the efficiency and effectiveness of AI training tasks, contributing to the advancement of AI development.

What we offer

Mercor offers a dynamic work environment where you will collaborate with researchers, operators, and AI companies at the forefront of shaping systems that redefine society. You will be part of a profitable Series C company valued at $10 billion, working in-person five days a week in our new San Francisco headquarters. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives in our team.