Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
AI/ML Data Contributor
Birmingham, AL · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Quick apply
AI/ML Data Contributor
Birmingham, AL · On-site
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...
We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.
Quick apply
We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.
Data Annotation Tech information
See Alabama salary details
$11.11 - $12.97
3% of jobs
$12.97 - $14.84
19% of jobs
$15.35 is the 25th percentile. Wages below this are outliers.
$14.84 - $16.70
11% of jobs
$16.70 - $18.56
13% of jobs
The median wage is $19.40 / hr.
$18.56 - $20.42
11% of jobs
$20.42 - $22.28
12% of jobs
$23.97 is the 75th percentile. Wages above this are outliers.
$22.28 - $24.14
8% of jobs
$24.14 - $26.01
8% of jobs
$26.01 - $27.87
6% of jobs
$27.87 - $29.73
5% of jobs
$29.73 - $31.59
4% of jobs
$11
$20
$31
How much do data annotation tech jobs pay per hour?
As of May 29, 2026, the average hourly pay for data annotation tech in Alabama is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $24.62 per hour, depending on experience, location, and employer.
What is a Data Annotation Tech job?
A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.
What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?
To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.
What does a typical day look like for a Data Annotation Tech?
A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.
Is data annotation legit or not?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
More about Data Annotation Tech jobs
What are the most commonly searched types of Data Annotation Tech jobs in Alabama? The most popular types of Data Annotation Tech jobs in Alabama are:
What are popular job titles related to Data Annotation Tech jobs in Alabama? For Data Annotation Tech jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Alabama look for? The top searched job categories for Data Annotation Tech jobs in Alabama are:
Part-time
Posted 3 days ago
Job description
Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.
Responsibilities
- Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
- Participate in remote assignments or attend on-site sessions when required
- Follow project guidelines and ensure high-quality task completion
- Provide feedback and input during testing activities
- Complete tasks within given timelines
Requirements
- Must be based in the United States
- Strong attention to detail and ability to follow instructions
- Basic computer skills and familiarity with digital tools
- Reliable internet connection and access to a computer or smartphone
- Availability to participate in task-based work (schedule may vary)
Nice to Have
- Previous experience in data annotation, QA, or testing
- Interest in AI, machine learning, or emerging technologies
What We Offer
- Paid, flexible task-based work
- Opportunity to work on innovative AI/ML projects
- Exposure to cutting-edge technologies (including device and VR testing)
- Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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