1

Data Annotation Analyst Jobs (NOW HIRING)

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of ...

Q Analysts has a sixteen-years track record of providing managed services and we've partnered with ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage ... gaps, and inefficiencies impacting Perception and ML training. * Utilize dashboards and reports to ...

Context switch across labeling, quality analysis, scripting, and process work as priorities evolve ... most sensitive data. * Ownership of the annotation and quality processes that determine ...

next page

Showing results 1-20

Data Annotation Analyst information

See salary details

$34K

$82.6K

$136K

How much do data annotation analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for 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 is a data annotation analyst?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

What does a data annotation analyst do?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

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

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

More about Data Annotation Analyst jobs

What cities are hiring for Data Annotation Analyst jobs?

Cities with the most Data Annotation Analyst job openings:

What are the most commonly searched types of Data Annotation Analyst jobs?

The most popular types of Data Annotation Analyst jobs are:

What states have the most Data Annotation Analyst jobs?

States with the most job openings for Data Annotation Analyst jobs include:

Infographic showing various Data Annotation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Re-posted 28 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