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Data Annotation Project Manager Jobs in Missouri

Data Center Project Manager

Fenton, MO · On-site

$115K/yr

In this role, you will be responsible for managing data center projects from startup through commissioning. You will work with a range of data center environments-from colocation facilities to ...

Industrial Project Manager - Data Centers

MO · On-site

$114K/yr

CDM Smith is seeking a Data Center Project Manager to lead the successful delivery of complex, mission-critical data center projects for our clients nationwide. This high-impact role focuses on ...

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Data Annotation Project Manager information

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

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 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.
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Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Re-posted 14 days ago


Job description

Data Annotation Quality Control Analyst  About Enabled Intelligence, Inc. Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs.  Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.    At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!  If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!   Data Annotation Quality Control Analyst Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.  Responsibilities Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positivesDiligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to dateProcess project data according to established procedures and guidelines Provide feedback and ideas on process improvements or concerns that may impact project performance  Required Qualifications and Skills Strong computer skills including proficiency in Excel and PowerPoint Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail Ability to follow directions and meet deadlines Ability to communicate reliably Ability to be a team player and work with individuals with different communication, learning and working stylesAbility to work independently including managing your schedule, attending all required meetings and completing projects within a deadline Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours Must be a US Citizen  Desired Qualifications and SkillsPrevious imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMVPrevious Data Annotation Quality Control experience Ability to answer project questions and provide one on one performance feedback to Data Annotators Prior experience with business productivity tools like Microsoft Office, and/or Slack Highschool Degree  Physical Requirements Prolonged periods of sitting at a desk and working on a computer  Background Check & Security Clearance Applicants selected will be subject to background investigation and must meet requirements for employment.
Job Posted by ApplicantPro