Scale is at the forefront of powering AI and LLMs across multiple industries. Our thesis is that to build exceptional LLMs you need exceptional human beings to train them. Humans are essential in providing the best training data for these models, and Scale operates the largest network of humans in the world to provide this training data.

As an Instructional Designer, you will be responsible for ensuring that our human contributors are as effective, efficient, and capable as possible. Training is one of the most critical functions at the company, and you will report to the Head of Training. Our contributors include both domain experts (PhDs, Master’s students, etc.) and “generalists” (typically high-school or college grads).

The role involves a combination of data analysis, roll-up-your-sleeves operations, curriculum and materials development, and lots of face-time with our contributors. You will be responsible for executing on developing our training curriculum, helping design and refine our training materials, monitoring the efficacy of our training, and brainstorming and iterating on how we can improve.

The ideal candidate has a strong entrepreneurial mindset, is high-ownership and comfortable working in ambiguity, is exceptionally personable, and is passionate about helping people learn.

You will:

• Help investigate the most pressing challenges with delivering high-quality data the most common errors our contributors make and why
• Develop scalable training materials including videos, slide decks, quizzes, and more to teach our contributors how to produce great training data
• Run live training sessions with our contributors
• Analyze data on the effectiveness of our training materials and quickly iterate / test out new ideas 
• Work with project teams across Scale to develop more targeted trainings to accommodate the nuances of their specific projects

Ideally, you'd have:

• 2 years of experience in either education and instructional design or management consulting
• Experience developing and designing curriculums
• Excited to solve ambiguous problems
• A relentless attitude of testing and iterating
• Ability to own your outcomes