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Job Category
Data Job Details
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.
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.
Qualifications - 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.
- A related technical degree required.
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.
In office expectations are 10 days/a quarter to support customers and/or collaborate with their teams.
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For California-based roles, the base salary hiring range for this position is $145,200 to $199,700. 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: .