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Manager Annotation Jobs in Missouri (NOW HIRING)

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.

Jobgether

$11.50 - $15.50/hr

Explain how data collection, annotation, labeling decisions, model training, evaluation, and deployment are connected, helping learners understand the downstream impact of their work. * Manage ...

ERL LLC

STL Project Engineer

Fenton, MO · On-site

Responsible for overall management of implementing design and specifications, on assigned projects ... Documentation includes detailed spreadsheets for project tracking, and annotation of site progress ...

Varsity Tutors

Autocad Tutor

Saint Louis, MO · Remote

$25 - $40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Varsity Tutors

Autocad Tutor

Columbia, MO · Remote

$25 - $40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Varsity Tutors

Autocad Tutor

Kansas City, MO · Remote

$25 - $40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

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Manager Annotation information

What is a manager annotation?

Manager Annotation jobs involve overseeing teams responsible for labeling and annotating data, which is critical for training machine learning models. These managers coordinate workflows, ensure quality control, and facilitate communication between annotators and data scientists. They are responsible for setting guidelines, managing deadlines, and addressing any issues that arise during the annotation process. Manager Annotation roles often require a combination of leadership skills and an understanding of data annotation tools and processes.

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

To thrive as a Manager Annotation, you need expertise in data annotation processes, team leadership, and quality assurance, often supported by a relevant degree and experience in data labeling or AI/ML projects. Familiarity with annotation tools (such as Labelbox, Supervisely, or AWS SageMaker Ground Truth), project management software, and sometimes certifications in project management or data science are valuable. Strong communication, problem-solving abilities, and attention to detail help ensure effective team coordination and high-quality data outputs. These skills are crucial for delivering accurate training data, meeting project deadlines, and supporting the success of machine learning initiatives.

What are some common challenges faced by a manager annotation and how can they be addressed?

A Manager Annotation often encounters challenges such as ensuring high-quality data labeling, managing tight project deadlines, and maintaining effective communication across diverse annotation teams. Balancing quality control with efficiency can be demanding, especially when working with large datasets or remote teams. To address these challenges, it is helpful to establish clear annotation guidelines, implement robust quality assurance processes, and foster open communication channels for feedback and support. Regular training and performance reviews also play a key role in maintaining team standards and project consistency.

What is the difference between Manager Annotation vs Data Annotator?

AspectManager AnnotationData Annotator
Required CredentialsHigh school diploma or equivalent; experience in data labeling; leadership skillsHigh school diploma or equivalent; attention to detail; basic computer skills
Work EnvironmentOffice or remote management setting overseeing annotation teamsRemote or on-site data labeling tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI, machine learning, data processing companies

The main difference is that a Manager Annotation oversees annotation teams and manages projects, requiring leadership and management skills, while a Data Annotator performs the actual data labeling work, focusing on accuracy and attention to detail. Managers coordinate workflows, whereas Annotators execute labeling tasks.

What are popular job titles related to Manager Annotation jobs in Missouri?

For Manager Annotation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Manager Annotation jobs in Missouri look for?

The top searched job categories for Manager Annotation jobs in Missouri are:

What cities in Missouri are hiring for Manager Annotation jobs?

Cities in Missouri with the most Manager Annotation job openings:

Manager Annotation jobs near you

#49426 Video Annotation & Data Labeling Project

Jobgether

On-site

$40 - $54/hr

Contractor

Posted 4 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 #49426 Video Annotation & Data Labeling Project based in Netherlands.

Join a long-term AI data project focused on transforming video content into high-quality training data for advanced AI systems.
You will work on video captioning, timeline segmentation, action labeling, and AI-generated content verification.
The role requires exceptional attention to detail and the ability to describe only what can be objectively verified on screen.
You will follow precise annotation guidelines while maintaining strong accuracy, consistency, and productivity.
Successful contributors can gain priority access to more advanced and higher-paid AI data projects.
The project provides structured onboarding and certification to help you master the required workflows and quality standards.
It is an opportunity to contribute directly to the development and improvement of next-generation AI models while working within a quality-focused environment.

Accountabilities
  • Write concise 1-2 sentence summaries of video action sequences using simple, objective English and following strict annotation guidelines.
  • Segment video timelines into discrete, action-based sections, ensuring a minimum of 2-3 segments per task with no gaps or overlaps.
  • Create action labels using simple present tense and describe only actions that are directly and visually verifiable.
  • Review and edit AI-generated captions to ensure accuracy, consistency, and compliance with project guidelines.
  • Identify and correct inconsistencies or inaccuracies in automatically generated annotations.
  • Maintain a high level of annotation quality, targeting benchmark accuracy of 85-90% or higher.
  • Complete annotation workflows efficiently, with an expected productivity benchmark of approximately 4 minutes per minute of video.
  • Use keyboard shortcuts and established workflow tools to complete tasks efficiently.
  • Run required background screen-recording software during task execution.
  • Follow all project procedures, productivity expectations, quality standards, and certification requirements.
  • Maintain concentration and consistency throughout repetitive, detail-oriented annotation tasks.
Requirements
  • Strong attention to detail and a demonstrated ability to identify subtle differences or inconsistencies in visual content.
  • Ability to describe only what is visibly observable without assumptions, interpretations, or inferred information.
  • Strong written English skills and the ability to communicate actions using clear, simple, and consistent language.
  • Ability to follow detailed guidelines precisely and apply the same rules consistently across a large volume of tasks.
  • Strong accuracy and quality orientation, with the ability to achieve and maintain an 85-90%+ benchmark accuracy level.
  • Ability to work efficiently toward productivity targets and complete a 1-minute video annotation workflow in approximately 4 minutes.
  • Comfortable learning and using keyboard shortcuts and structured digital workflows.
  • Ability to run background screen-recording software while completing assigned tasks.
  • Strong focus and discipline when working on repetitive, quality-sensitive activities.
  • Comfortable working independently within a structured, process-driven environment.
  • Willingness to complete an approximately 3-hour certification and onboarding process.
  • Ability to review training materials, complete practice tasks, and successfully pass 5 certification tasks within the required 4-minute-per-video time limit.
Benefits
  • Competitive project-based rate of $2.00-$5.00 per hour, depending on verified quality and productivity.
  • One-time $10 bonus via PayPal after successfully completing the certification process.
  • Access to upcoming batches of paid annotation tasks after certification.
  • Priority access to more advanced and higher-paid AI data projects for successful contributors.
  • Structured onboarding with guidelines, training videos, practice tasks, and certification support.
  • Opportunity to build practical experience in AI data annotation, video understanding, model evaluation, and AI quality assurance.
  • Flexible task-based work within a long-term AI data project.
  • Payments processed securely through PayPal.
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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