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
