Workforce Manager
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
Labelbox’s mission is to build the best products for humans to advance artificial intelligence. As a Workforce Manager, you will work across engineering, customer, and data labeling teams to create highly accurate datasets. This is a unique, cross functional position where you will be the go-to person for successful project outcomes for customers.
Your Day to Day
- Create a partner success model with partner QBRs, feature roadmap alignment and growth strategy with workforce partners.
- Create an operating model that is adopted repeatedly across a highly scaled number of workforce partners.
- Work cross-functionally with Product Management, Sales, and leadership to align and identity new workforce partnership opportunities
- Help customers build production-grade data labeling pipelines
- Track and analyze metrics to deliver remarkable customer service. Accuracy, precision, time-to-delivery, speed, and cost are the key metrics for a successful project.
- Lead large-scale data operations projects between customers and workforce teams
- Assess and manage data labeling workforce performance to help them deliver the best results
- Continuously improve quality and throughput of our data labeling services
- Develop policies, guidelines and workflows pertaining to data management and labeling services
- Set up processes for data driven decision making for BPO matchmaking, BPO quality rating and BPO customer rating.
About You
- Experience with establishing scalable and repeatable operating models with BPOs
- Proactively finding ways to improve and scale up workforce efforts
- A passion for data and quality
- Strong analysis and troubleshooting skills
- An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
- A strong motivation to work closely with customers to create the best possible experiences with Labelbox
- Assertive, positive and effective communication skills in English – both written and oral – with considerable attention to detail and the ability to present and influence
- Demonstrated problem-solving ability, particularly in complex technical situations
- Relevant professional experience in data labeling for ML
- Experience building and/or QAing datasets
- At least 5 years of experience with analytical software such as Excel
- Vendor management experience
- Experience working with Language or Labeling/Linguistics
Nice to Have
- Experience working on computer vision use cases
- Experience working as a Quality Assurance Analyst (QAA)
- Experience scoping and developing ontologies and taxonomies
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is $140,000 - $165,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Excel in a Hub-centric Remote Model.
We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the San Francisco Bay Area, New York City Metropolitan Area, Miami-Fort Lauderdale Area, and Warsaw, Poland. We encourage asynchronous communication, autonomy, and ownership of your tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
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