Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox's comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox's software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
About the Role Labelbox's mission is to build the best products for humans to advance artificial intelligence. As a Workforce Project 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 find 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 verbal – 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.
Nice to Have Experience working with Language or Labeling/Linguistics.
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 below. 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. Annual base salary range
$140,000—$165,000 USD Excel in a remote-friendly hybrid model. We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wroclaw, Poland. We encourage asynchronous communication, autonomy, and ownership of 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.