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Ai Data Annotator Jobs in Spring, TX (NOW HIRING)

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Ai Data Annotator information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do ai data annotator jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai data annotator in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is an AI data annotator?

An AI Data Annotator is responsible for labeling and categorizing data to train machine learning models. This may include annotating images, text, audio, or video with relevant tags, bounding boxes, or classifications. The accuracy of annotations is crucial as it directly impacts the performance of AI algorithms. Annotators often follow specific guidelines to ensure consistency and quality. This role is essential in developing AI systems for tasks like image recognition, natural language processing, and autonomous driving.

What does an AI data annotator do?

A typical day for an AI Data Annotator involves reviewing and accurately labeling large sets of images, text, audio, or video data according to detailed guidelines provided by machine learning project teams. You may use specialized annotation tools and collaborate virtually with data scientists or project managers to ensure consistency and quality in your work. The role often requires both independent focus as well as team check-ins to address questions or clarify standards. Over time, annotators can gain expertise in advanced labeling tasks, take on quality assurance responsibilities, or progress into roles such as annotation team lead or project coordinator.

What skills and qualifications are needed to be an AI data annotator?

To thrive as an AI Data Annotator, you need strong attention to detail, critical thinking abilities, and familiarity with data labeling guidelines or standards. Experience with data annotation platforms, basic computer skills, and sometimes exposure to AI tools or cloud-based systems are valuable assets. Excellent communication, time management, and the ability to work independently or within distributed teams help you stand out in this position. These skills ensure accurate, consistent data labeling that directly impacts the quality and performance of AI and machine learning models.

How much does an AI data annotator make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer freelance or part-time work with flexible schedules, and proficiency with annotation tools can influence pay rates.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good communication skills, and familiarity with data labeling tools or platforms. Some roles require basic knowledge of the specific data type, such as images, text, or audio, and may prefer candidates with prior experience or relevant training. Many positions are entry-level and offer flexible schedules, making them accessible to a wide range of applicants.

What are the most commonly searched types of Ai Data Annotator jobs in Spring, TX?

The most popular types of Ai Data Annotator jobs in Spring, TX are:

What job categories do people searching Ai Data Annotator jobs in Spring, TX look for?

The top searched job categories for Ai Data Annotator jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Data Annotator jobs?

Cities near Spring, TX with the most Ai Data Annotator job openings:

Ai Data Annotator jobs near you
Infographic showing various Ai Data Annotator job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Houston, TX • Remote

$20/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Please submit your resume in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

While each project involves unique tasks, contributors may:

  • Carefully review provided data (text, images, or videos);
  • Label or classify content based on project guidelines;
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • Logical thinking, fact-checking and reasoning abilities;
  • Strong attention to detail and ability to understand and follow complex instructions;
  • Strong communication skills, including the ability to ask clarifying questions when needed;
  • Genuine interest in technology and artificial intelligence;
  • Strong written and spoken English (C1+).

How it works 

Apply Pass qualification(s)  Join a project (when available) Complete tasks Get paid

Why this freelance opportunity might be a great fit for you

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

Apply