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Data Annotation Manager



Palo Alto, CA, USA
Posted on Monday, November 20, 2023

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research seeks a top-tier professional to serve as the Manager of our Data Annotation team. We are at the forefront of Enterprise AI, demonstrating the power of large foundation models to redefine the business. Join us in paving the path to a more connected, committed, and data-driven world.

Job Purpose
The Manager of the Data Annotation team will lead a dedicated team responsible for collecting, cleaning, and annotating diverse datasets that fuel the training and fine-tuning of large-scale generative models.

Key Responsibilities

  • Own the creation of new data labeling tasks: define labeling guidelines based on requests from AI researchers and product engineers, onboard data annotators into the data labeling pipeline, and work with researchers to incorporate new datasets into the training of our neural networks.

  • Build machine-assisted and fully-automated tools to increase the growth rate, quality, and diversity of datasets.

  • Develop and maintain processes to ensure datasets are high quality and that annotators are consistent and adhere to labeling instructions.

  • Grow the data annotation team and foster a culture of collaboration, innovation, and continuous learning.

  • Implement robust data governance policies, including ensuring compliance with legal and ethical considerations surrounding data use.

  • Liaise with team members and partners to see opportunities for data-driven initiatives and collaborations.

  • Supervise the latest developments in machine learning, actively promoting the integration of innovative approaches into our data pipeline processes.


  • Familiarity with labeling tasks for language + vision understanding and experience working with third party data annotation vendors.

  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

  • Proven ability to lead and deliver large-scale projects on time and within budget.

  • Exceptional leadership skills with a track record of building and managing high-performing teams.

Preferred Qualifications

  • Proficiency in Python and data manipulation tools like Hadoop, Spark, or Kafka.

  • Proficiency in data engineering, data science, or related roles in a leadership capacity.

  • Experience building and optimizing large-scale data pipelines and datasets.


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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at and explore our company benefits at

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For California-based roles, the base salary hiring range for this position is $138,200 to $231,500.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: