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Data Annotation Project Manager Jobs in Maryland

Data Project Manager

Annapolis, MD · On-site

$51.25 - $69.25/hr

PRIMARY RESPONSIBILITY The role of the Chesapeake Data Project Manager will be to execute and manage a 5-year geospatial land characterization project between Chesapeake Conservancy's Conservation ...

$96K - $192K/yr

ABOUT THIS ROLE Carrier isseekinga highly skilled Project Manager to oversee our scope of work in data center construction projects. This roleis responsible forthe startup, commissioning, andfield ...

$96K - $192K/yr

ABOUT THIS ROLE Carrier isseekinga highly skilled Project Manager to oversee our scope of work in data center construction projects. This roleis responsible forthe startup, commissioning, andfield ...

DATA CENTER PROJECT MANAGER

Elkridge, MD · On-site

$89K - $115K/yr

Job Title: Data Center Project Manager Location: Elkridge, Maryland Starting Compensation Range: $89,000 to $115,000 per year The Data Center Project Manager is responsible for providing the ...

$140 - $160/hr

Overview The Data Center Project Manager is responsible for the entire life cycle of a project from inception through closure. Ensure the project is delivered safely in accordance with the company ...

Project Manager, Data Center & Telecommunications Infrastructure Location: Linthicum, MD / Frederick, MD Reports to: Vice President FLSA Status: Full-Time / Exempt Work Shift: 7:00 a.m. to 4:00 p.m ...

We're data geeks to our core, committed to simplifying the toughest challenges and operating with ... Project Team Engagement and Client Management: Serve as the primary point of contact for the ...

Project Manager

Frederick, MD · On-site

$90K - $130K/yr

Project Manager, Data Center & Telecommunications Infrastructure Location: Linthicum, MD / Frederick, MD Reports to: Vice President FLSA Status: Full-Time / Exempt Work Shift: 7:00 a.m. to 4:00 p.m ...

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Data Annotation Project Manager information

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 are the key skills and qualifications needed to thrive as a data annotation project manager?

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 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.

What are popular job titles related to Data Annotation Project Manager jobs in Maryland?

For Data Annotation Project Manager jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Annotation Project Manager jobs in Maryland look for?

The top searched job categories for Data Annotation Project Manager jobs in Maryland are:

What cities in Maryland are hiring for Data Annotation Project Manager jobs?

Cities in Maryland with the most Data Annotation Project Manager job openings:

Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

Annapolis Junction, MD • On-site

SYSTOLIC
Software Development • 51 - 200 employees

$231K/yr

Other

Re-posted 12 days ago


Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP). • Execute advanced language data tokenization and develop automated annotation solutions. • Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks. • Apply Data Science methodologies to drive continuous improvement in language processing capabilities. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 10+ years • Salary: $231k+ yearly compensation Job Description: • Lead the implementation and support of Natural Language Processing (NLP) initiatives. • Perform detailed language data tokenization and prepare data for model training. • Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques. • Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations. • Utilize Data Science principles to analyze model performance metrics and identify areas for optimization. • Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects. • Develop strategies for continuous model improvement and data quality enhancement. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency