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Full Time Ai Data Annotation Jobs (NOW HIRING)

... data annotation • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with ...

Build a data annotation team * Own annotation operations end-to-end * Manage the people side of ... Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology ...

$55 - $60/hr

We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to ... As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ...

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... AI labs/data vendors • Technical skills to build tools for data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

About Teleskope Teleskope is redefining data security for the AI era with the only dedicated ... You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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Full Time Ai Data Annotation information

What are some common challenges faced by full time AI data annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What are the key skills and qualifications needed to thrive as a full time AI data annotation specialist?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What is a full time AI data annotation job?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

More about Full Time Ai Data Annotation jobs
What cities are hiring for Full Time Ai Data Annotation jobs? Cities with the most Full Time Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Full Time Ai Data Annotation jobs? States with the most job openings for Full Time Ai Data Annotation jobs include:
Infographic showing various Full Time Ai Data Annotation job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Re-posted 16 days ago


Job description

Data Annotation Quality Control Analyst  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!  If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!   Data Annotation Quality Control Analyst Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.  Responsibilities Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positivesDiligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to dateProcess project data according to established procedures and guidelines Provide feedback and ideas on process improvements or concerns that may impact project performance  Required Qualifications and Skills Strong computer skills including proficiency in Excel and PowerPoint Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail Ability to follow directions and meet deadlines Ability to communicate reliably Ability to be a team player and work with individuals with different communication, learning and working stylesAbility to work independently including managing your schedule, attending all required meetings and completing projects within a deadline Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours Must be a US Citizen  Desired Qualifications and SkillsPrevious imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMVPrevious Data Annotation Quality Control experience Ability to answer project questions and provide one on one performance feedback to Data Annotators 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 and must meet requirements for employment.
Job Posted by ApplicantPro