Workforce Project Manager

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