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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 Training, you will be responsible for ensuring that the contributors on our tasking platform are as effective, efficient, and capable as possible. This is one of the most critical functions at the company, and you will report to the Head of Quality Operations. Our taskers include both domain experts (PhDs, Master’s students, etc.) and “generalists” (typically high-school or college grads).
The role involves a combination of strategic thinking, data analysis, roll-up-your-sleeves operations, and engagement with our contributors and operations team. You will be responsible for iterating on our training curriculum, designing and refining our training materials, and owning north-star metrics on content and contributor quality. The ideal candidate can create excellent training content, has a strong entrepreneurial mindset, and is comfortable leading a team and working with them under ambiguity.
Responsibilities Include:
- Investigate the most pressing challenges with tasking + the most common errors our contributors make and why
- Design and build a curriculum to teach our contributors how to produce great tasks
- Lead a team of 2-3 people to develop materials, run live training sessions, and other creative ways of teaching taskers
- Empower operators across the org to create high-quality content tailored to their projects, and support individual project trainings when needed
- Collaborate with Product and Engineering to build an impactful training experience for contributors
- Own north-star metrics on content quality and contributor learning, and quickly iterate / test out new approaches
Who We’re Looking For:
- 10+ years of experience in EdTech product, content strategy, and/or instructional design
- Proven track record for designing curriculums and building best-in-class content
- Experience leading and mentoring a team
- A high ownership individual who is comfortable navigating ambiguity
- A relentless attitude of testing and iterating
Compensation packages at Scale for eligible roles 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$188,000—$225,600 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
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 protected]. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
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