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Data Annotation Project Manager Jobs in Missouri

Jobgether

$2 - $5/hr

This position is listed on behalf of a partner company, who manages all applications and next steps ... Follow project-specific annotation guidelines precisely to ensure consistency across datasets.

Jobgether

$40 - $54/hr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in Netherlands.

Carrier

Data Center Project Manager

Louisiana, MO · On-site +1

$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 ...

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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.

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Data Annotation Project Manager jobs near you

Video Annotation & Data Labeling Specialist

Jobgether

$2 - $5/hr

Contractor

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands.

This role offers the opportunity to contribute directly to the development and improvement of next-generation AI models through high-quality video data annotation.
You will analyze video content, segment sequences, label observable actions, and verify AI-generated descriptions for accuracy.
No previous professional experience is required, making this an accessible opportunity for candidates who are detail-oriented and eager to learn.
You will receive structured training and certification before progressing to paid production work.
Consistent, high-quality performance can provide priority access to more advanced and higher-paid AI data projects.
The role is designed for reliable contributors who can follow precise guidelines and maintain strong accuracy across large volumes of annotation tasks.

Accountabilities
  • Write objective, concise 1-2 sentence summaries of video sequences using simple and accurate English.
  • Segment videos into clearly defined, action-based sequences without gaps or overlaps.
  • Label and describe only actions that are directly and visually verifiable in the video.
  • Use simple present tense and consistent terminology when creating annotations.
  • Review AI-generated captions and identify or correct inaccuracies, inconsistencies, and unclear descriptions.
  • Follow project-specific annotation guidelines precisely to ensure consistency across datasets.
  • Maintain a high level of accuracy and productivity while completing assigned annotation batches.
  • Complete the required onboarding and certification activities, including reviewing guidelines, practicing with the annotation platform, and successfully completing five certification tasks.
  • Apply feedback from quality reviews to continuously improve annotation accuracy and consistency.
Requirements
  • No previous professional experience in data annotation or AI is required; beginners are welcome.
  • Strong attention to detail and the ability to identify specific actions and events in video content.
  • Ability to describe only what is visibly observable without making assumptions, interpretations, or unsupported conclusions.
  • Strong written English skills with the ability to produce clear, concise, and objective descriptions.
  • Ability to consistently follow detailed instructions, annotation guidelines, and quality standards.
  • Commitment to maintaining a target benchmark of 95%+ accuracy.
  • Strong organizational skills and the ability to manage repetitive tasks while maintaining accuracy and focus.
  • Ability to learn new annotation tools and workflows quickly.
  • Reliable availability for 25-40 hours per week for long-term data annotation projects.
  • Willingness to complete an approximately 3-hour certification and onboarding process before entering paid production work.
Benefits
  • Compensation of $2.00-$5.00, depending on verified quality and productivity.
  • 25-40 hours per week of dedicated, long-term data annotation opportunities.
  • No prior professional experience required, with beginners encouraged to apply.
  • Structured onboarding, training materials, and practical experience with an annotation platform.
  • Certification process designed to prepare contributors for paid production work.
  • All certification hours are paid once you begin performing production tasks.
  • Priority access to advanced and higher-paid projects based on successful performance.
  • Opportunity to gain practical experience contributing to AI model development and verification.
  • Long-term project opportunities for consistent, high-quality contributors.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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