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Data Annotation Ai Trainer Jobs (NOW HIRING)

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... training pipelines. * Cross-Functional Feedback: Collaborate closely with Machine Learning and ...

The Data Annotation Specialist will be responsible for creating, refining, and validating ground ... training pipelines. โ€ข Cross-Functional Feedback: Collaborate closely with Machine Learning and ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Generate daily reports on completed tasks * Assist with peer to peer training Qualifications Skills ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Generate daily reports on completed tasks * Assist with peer to peer training Qualifications Skills ...

Oversee data annotation projects, translating complex AI and machine learning requirements into ... Work closely with product and engineering teams to drive improvements in AI training data processes ...

Oversee data annotation projects, translating complex AI and machine learning requirements into ... Work closely with product and engineering teams to drive improvements in AI training data processes ...

Data Labeler

$30K - $50K/yr

Have experience in data annotation, AI evaluation, RLHF, or model assessment * Have worked with AI ... tools extensively and understand their strengths and limitations * Enjoy finding edge cases and ...

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Data Annotation Ai Trainer information

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$13

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How much do data annotation ai trainer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data annotation ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

Is data annotation AI trainer legit?

Data annotation AI trainer roles involve labeling data to help train machine learning models and are generally legitimate jobs in the AI industry. These positions often require attention to detail and familiarity with annotation tools, and they can be found with reputable companies or platforms. However, job seekers should verify the employer's credibility and be cautious of scams or unrealistic promises.

Does data annotation really pay?

Data annotation jobs, including roles like AI trainer, typically pay hourly or per task rates that can range from minimum wage to higher amounts depending on experience and complexity. Many companies offer remote work with flexible schedules, and pay can vary based on skill level, project requirements, and the platform used for job postings.

How much do AI data trainers make?

AI data trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of tasks. Many roles are freelance or part-time, requiring skills in data labeling, annotation tools, and understanding of AI models.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to the lower end, while experienced trainers with specialized skills can earn higher wages, often working remotely with flexible schedules.

What is a Data Annotation AI Trainer job?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Trainer position, and why are they important?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a typical day look like for a Data Annotation Ai Trainer?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

More about Data Annotation Ai Trainer jobs
What cities are hiring for Data Annotation Ai Trainer jobs? Cities with the most Data Annotation Ai Trainer job openings:
What states have the most Data Annotation Ai Trainer jobs? States with the most job openings for Data Annotation Ai Trainer jobs include:
Infographic showing various Data Annotation Ai Trainer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Data Annotation Quality Control Analyst

Data Annotation Quality Control Analyst

Enabled Intelligence

Saint Louis, MO โ€ข On-site

$23/hr

Full-time

Posted 24 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.โ€ฏ 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.โ€ฏโ€ฏโ€ฏโ€ฏ

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!โ€ฏ 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!โ€ฏโ€ฏ

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 positives
  • Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
  • Process project data according to established procedures and guidelinesโ€ฏ
  • 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 styles
  • Ability 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 Skills

  • Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
  • Previous 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