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Data Annotation Project Manager Jobs in Tennessee

Now Hiring: Project Manager (Remote | 6-Month Contract, Possible Conversion) Remote Location ... Projects triggered by changes to health plans Work is largely contained within the Data & Analytics ...

The Project Manager role involves providing operational support for the Data Cloud Applications team, ensuring project hygiene, and facilitating collaboration across teams to deliver well-scoped work.

The Project Manager is a critical position in the Company responsible for bringing construction ... Monitors job progress on a daily basis by reviewing productivity reports and other job cost data ...

Are you a Project Manager in the Architecture, Engineering, and Construction field seeking purpose ... Computer skills necessary to enter daily timesheet data and use Microsoft Outlook for email ...

Project Manager

Brentwood, TN

$85.90K - $167.02K/yr

Are you a Project Manager in the Architecture, Engineering, and Construction field seeking purpose ... Computer skills necessary to enter daily timesheet data and use Microsoft Outlook for email ...

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Data Annotation Project Manager information

What are the key skills and qualifications needed to thrive as a Data Annotation Project Manager, and why are they important?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

What are some common challenges faced by Data Annotation Project Managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

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Finance AI Trainer - Remote, Flexible Hours

Finance AI Trainer - Remote, Flexible Hours

Data Annotation

Knoxville, TN • On-site, Remote

$50 - $60/hr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Annotation is seeking experienced finance professionals to train AI models remotely. This role offers flexible scheduling, allowing for part-time or full-time commitment. Responsibilities include evaluating AI output and providing feedback.

Ideal candidates will have advanced degrees and strong financial reasoning skills. Compensation starts at $50-$60 per hour with potential bonuses based on project quality. Join our team to impact the future of AI in finance.

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