Project Specialist - Data Labeling
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Labelbox’s mission is to build the best products for humans to advance artificial intelligence. As a Project Specialist -Data Labeling, 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 act as a project manager ensuring successful data labeling and machine learning outcomes for customers. You are a creative problem solver with attention to detail.
Responsibilities
- Scope, develop, and operate data labeling projects that produce high-quality, ML-ready data sets
- Help customers build production-grade data labeling pipelines
- Translate technical requirements into atomic tasks and workflows for data labeling teams
- 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
- Coordinate large-scale data operations projects between customers and data labeling 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
Key attributes
- Understand the similarities and differences across datasets
- Proactively finding ways to improve and scale up data labeling efforts
- A passion for data and quality
- Strong analysis and troubleshooting skills
- Detail-oriented, with a sharp eye for visual differences between images
- An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
- An ability to learn quickly to understand and articulate new technologies and corresponding value propositions
- 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
- Ability to thrive in a dynamic, fast paced startup environment
Basic Qualifications
- Bachelor's Degree in a technical field or related discipline preferred, relevant professional experience also considered
- Experience building and/or QAing datasets
- At least 2 years of experience with analytical software such as Excel
- Vendor management experience
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
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