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On Call Ai Data Annotator Jobs (NOW HIRING)

Job Summary (List Format): Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Key ... This role involves high-precision annotation and quality review of multi-modal data to support AI ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and ... Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer (Autonomy & Robotics) Main Purpose: Support the development of ... for advanced AI models. --- ### Key Responsibilities: - Perception & Sensor Data Annotation ...

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Job Summary (List Format): Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Main ... AI, Supervisely, V7, Encord, etc.). - Ability to systematically break down and label complex heavy ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

We are seeking a highly detail-oriented Data Annotator & QA Reviewer to join our Autonomy ... If you thrive at the intersection of robotics, spatial perception, and high-precision AI data, join ...

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

Here's a job summary in list format based on your description for the Data Annotator & QA Reviewer ... AI, Supervisely). - Strong understanding of mining operations, spatial perception, and heavy ...

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On Call Ai Data Annotator information

See salary details

$44.5K

$129.7K

$177.5K

How much do on call ai data annotator jobs pay per year?

As of Aug 11, 2026, the average yearly pay for on call ai data annotator in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How to become an on call AI data annotator?

To become an on call AI data annotator, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related tasks. Flexibility in scheduling and the ability to work independently are also important for on call roles.

What is the difference between On Call Ai Data Annotator vs Data Labeler?

AspectOn Call Ai Data AnnotatorData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI and machine learning companiesAI, autonomous vehicles, tech companies
Job FocusAnnotating data for AI training, on-call basisLabeling data to train machine learning models

While both roles involve data annotation, On Call Ai Data Annotators typically work on a flexible, on-demand basis to annotate data for AI models, often with a focus on specific projects. Data Labelers generally perform similar tasks but may have more consistent, ongoing roles. Both require attention to detail and basic technical skills, but On Call Ai Data Annotators often work in more dynamic environments tailored to AI development needs.

How much do on call AI data annotators make?

On call AI data annotators typically earn between $10 and $20 per hour, depending on the company, location, and experience. Many roles are paid hourly and may require basic skills in data labeling and familiarity with annotation tools, with some positions offering flexible or part-time schedules.
What cities are hiring for On Call Ai Data Annotator jobs? Cities with the most On Call Ai Data Annotator job openings:
What are the most commonly searched types of Ai Data Annotator jobs? The most popular types of Ai Data Annotator jobs are:

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Re-posted 26 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.