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Flexible Data Annotation Analyst Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... Flexible PTO to fully recharge * 18 paid vacation days in the U.S. plus federal holidays * Annual ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... Flexible PTO to fully recharge * 18 paid vacation days in the U.S. plus federal holidays * Annual ...

ICON Consultants, LP

Data Annotator

San Francisco, CA · On-site

... annotation tools and platforms • Strong understanding of data management principles and basic data analysis concepts • Demonstrated ability to follow detailed instructions and identify subtle ...

Welocalize, Inc.

Data Labeling Analyst

New York, NY

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

Data Quality Lead

New York, NY

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

Data Quality Lead

San Francisco, CA · On-site

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

Icon Consultants

Be Seen First

Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

Hands-on experience with 2D and 3D annotation tools and platforms * Strong understanding of data management principles and basic data analysis concepts * Demonstrated ability to follow detailed ...

Welocalize, Inc.

Data Quality Lead

New York, NY

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

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Flexible Data Annotation Analyst information

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$34K

$82.6K

$136K

How much do flexible data annotation analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for flexible data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a Flexible Data Annotation Analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a Flexible Data Annotation Analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
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Flexible Data Annotation Analyst jobs near you

Data Annotation Specialist - Computer Vision & Video Labeling

Wealth Recruitment, LLC

San Francisco, CA

$20 - $40/hr

Contractor

Posted 7 days ago

Job description

Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We're seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems.

This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.

As a Data Annotation Specialist, you will:
  • Perform high-volume image and video labeling using internal proprietary annotation tools
  • Review visual datasets across multiple sensor and data types
  • Identify, document, and flag model failure cases to support machine learning improvements
  • Maintain strong labeling accuracy while meeting throughput and productivity targets
  • Track progress across large datasets and ensure consistent performance
  • Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
  • Work closely with technical teams to support rapid model development cycles

Requirements

Ideal Background

We're especially interested in candidates with backgrounds in:

  • Maritime operations
  • Drone/UAS operations
  • Aviation or aircraft systems
  • Military intelligence, ISR, or sensor analysis
  • Robotics or autonomous systems
  • Computer vision or video annotation environments
Required Qualifications
  • Must be a U.S. Citizen (required for CUI eligibility)
  • Experience with computer vision labeling, robotics annotation, or video/image analysis
  • Strong attention to detail and ability to maintain focus during repetitive visual review tasks
  • Comfortable working in proprietary internal software platforms
  • Ability to consistently balance speed and accuracy in a production environment
  • Strong pattern recognition and analytical skills
  • Reliable internet connection and ability to work independently

Benefits

Schedule
  • 20-30 hours per week initially while current project backlog is addressed
  • Hours may adjust based on project needs and performance

Pay Rate = $20 - $40 per hour

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