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Data Annotation Manager Jobs (NOW HIRING)

Welocalize, Inc.

Data Quality Lead

New York, NY

... within a data annotation or machine learning team. * Proven track record of team management ... mentorship, and performance optimization. * Strong analytical skills with the ability to derive ...

Welocalize, Inc.

Data Quality Lead

San Francisco, CA · On-site

... within a data annotation or machine learning team. * Proven track record of team management ... mentorship, and performance optimization. * Strong analytical skills with the ability to derive ...

Welocalize, Inc.

Data Quality Lead

New York, NY

... within a data annotation or machine learning team. * Proven track record of team management ... mentorship, and performance optimization. * Strong analytical skills with the ability to derive ...

Comrise

CA · On-site

$26 - $29/wk

Partner with Project Managers to calculate time and material costs for quoting and provide technical guidance to less experienced machinists. * Maintenance: Assist with the cleaning and preventative ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ... Understanding of LLM inference, prompt engineering, and context management at enterprise scale.

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

Summary The Data Manager - AI Development is a key role within the AI Development team responsible ... Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ...

RWS Group

Data Annotator for AI Models (English)

The role involves collaborating with project managers and stakeholders to ensure quality and alignment throughout the annotation process. Responsibilities : • Annotate data accurately and ...

New

RWS Group

Data Annotator for AI Models (English)

The role involves collaborating with project managers and stakeholders to ensure quality and alignment throughout the annotation process. Responsibilities : • Annotate data accurately and ...

New

RWS Group

Data Annotator for AI Models (Dutch)

The role involves collaboration with project managers and stakeholders to ensure quality and alignment in the annotation process. Responsibilities : • Annotate data accurately and consistently ...

New

RWS Group

Data Annotator for AI Models (Dutch)

The role involves collaboration with project managers and stakeholders to ensure quality and alignment in the annotation process. Responsibilities : • Annotate data accurately and consistently ...

New

RWS Group

Data Annotator for AI Models (Dutch)

... managers and stakeholders. Responsibilities : • Annotate data accurately and consistently ... Preferred : • Familiarity with the Appen Annotation Platform (ADAP) and machine learning ...

New

RWS Group

Data Annotator for AI Models (Dutch)

The role involves collaboration with project managers and stakeholders to ensure quality and alignment in the annotation process. Responsibilities : • Annotate data accurately and consistently ...

New

Arthur Lawrence

Data Annotator

Fremont, CA · On-site

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling ... Familiarity with AI/ML concepts, data management, and data analysis platforms. About Us: Arthur ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis * Partner with leads in Data Science ...

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All JobsData Annotation Manager Jobs

Data Annotation Manager information

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$31K

$97.1K

$172K

How much do data annotation manager jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data annotation manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a Data Annotation Manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and proficiency with annotation tools and team management can influence pay levels.

Is data annotation high paying?

Data annotation managers typically earn higher salaries than entry-level annotators due to their supervisory responsibilities and expertise in labeling tools and processes. Salaries vary based on experience, location, and company size, but the role generally offers competitive pay within the data labeling industry.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation managers oversee this work, ensuring accuracy and quality using tools like labeling platforms and quality control procedures.

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

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Is it hard to get a job with data annotation?

Securing a job as a data annotation manager typically requires experience in data labeling, familiarity with annotation tools, and understanding of data quality standards. While entry-level roles may be accessible with basic skills, advancing to managerial positions often demands relevant experience and leadership abilities.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

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

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

More about Data Annotation Manager jobs
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Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, and 92% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Posted 9 days ago

Job description

Geospatial AI Data Annotator
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!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • 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. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.

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