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 the Head of Quality Operations, you will be responsible for ensuring that our training data quality is as useful for customers as possible. You will own ideating what high-quality training means and looks like across various projects, driving thought leadership with our customers about data quality, developing the entire tasker training program, creating our “golden datasets” to programmatically evaluate taskers, and more.
The role involves a combination of strategic thinking, data analysis, roll-up-your-sleeves operations, and cross-functional collaboration. This is one of the highest-impact roles at the company.
The ideal candidate has a strong entrepreneurial mindset, is comfortable leading a team and working with them under ambiguity at a high velocity, and can make things happen.
- Work with linguists, academics, and researchers to ensure Scale stays at the forefront of the definition of data quality
- Own communication and thought leadership around data quality with key customers and stakeholders
- Oversee the training materials and curriculum for our entire tasker base
- Oversee the creation of our “golden datasets” to ensure we have a quality signal on our taskers in a scalable way
- Work with project teams to understand the nuances and challenges of developing good training data, come up with perspectives on how those edge cases should be handled, and relay that perspective to our customers.
- Lead a team of 6-8 people, including a training team, a golden-set-creation team, and a quality-ideation team
Who We’re Looking For:
- 10+ years of experience with an entrepreneurial background
- Strong IC and strong managerial track record
- Commitment and excitement to learn as much as possible about LLMs
- Excited to solve ambiguous problems
- A relentless attitude of testing and iterating
- Strong communication skills
- Own your outcomes
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $200,000 - $225,000.
Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval.
You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at email@example.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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