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 ...
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 ...
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 ...
Quick apply
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 ...
AI/ML Data Contributor
Miami, FL · Remote
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 ...
Quick apply
AI/ML Data Contributor
Miami, FL · Remote
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 ...
AI/ML Data Contributor
Columbia, SC · Remote
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 ...
Quick apply
AI/ML Data Contributor
Columbia, SC · Remote
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 ...
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 ...
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 ...
AI/ML Data Contributor
Columbia, SC · On-site
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 ...
Quick apply
AI/ML Data Contributor
Columbia, SC · On-site
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
AI/ML Data Contributor
Fargo, ND · On-site
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 ...
Quick apply
AI/ML Data Contributor
Fargo, ND · On-site
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 ...
AI/ML Data Contributor
New Orleans, LA · Remote
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 ...
Quick apply
AI/ML Data Contributor
New Orleans, LA · Remote
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 ...
AI/ML Data Contributor
Birmingham, AL · Remote
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 ...
Quick apply
AI/ML Data Contributor
Birmingham, AL · Remote
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 ...
AI/ML Data Contributor
Milwaukee, WI · On-site
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 ...
Quick apply
AI/ML Data Contributor
Milwaukee, WI · On-site
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 ...
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 ...
Quick apply
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 ...
AI/ML Data Contributor
Birmingham, AL · On-site
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 ...
Quick apply
AI/ML Data Contributor
Birmingham, AL · On-site
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 ...
AI/ML Data Contributor
Oklahoma City, OK · On-site
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 ...
Quick apply
AI/ML Data Contributor
Oklahoma City, OK · On-site
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 ...
Content Evaluation information
See salary details
$29.5K - $38.5K
2% of jobs
$38.5K - $47.6K
1% of jobs
$47.6K - $56.6K
1% of jobs
$56.6K - $65.7K
2% of jobs
$65.7K - $74.7K
2% of jobs
$74.7K - $83.8K
2% of jobs
$83.8K - $92.8K
1% of jobs
$92.8K - $101.9K
1% of jobs
$101.9K - $110.9K
1% of jobs
$110.9K - $120K
1% of jobs
$121K is the 25th percentile. Wages below this are outliers.
$120K - $129K
85% of jobs
$29.5K
$116.6K
$129K
How much do content evaluation jobs pay per year?
As of Aug 13, 2026, the average yearly pay for content evaluation in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.
What is content evaluation?
Content evaluation is the process of assessing digital or written materials to ensure they meet specific quality, accuracy, relevance, and compliance standards. This role often involves reviewing articles, videos, websites, or social media posts to verify factual correctness, appropriateness for the target audience, and adherence to guidelines. Content evaluators help improve the overall quality of content published online or in print by identifying errors, inconsistencies, or biases. Their feedback is crucial for content creators, editors, and organizations aiming to maintain high standards.
What are some common challenges faced by professionals in content evaluation roles, and how can they be effectively managed?
Content Evaluation professionals often encounter challenges such as managing large volumes of diverse content, maintaining objectivity, and staying updated with evolving guidelines. To effectively manage these challenges, it’s important to develop strong analytical skills, practice efficient time management, and stay in regular communication with team members and supervisors. Leveraging collaboration tools and participating in ongoing training sessions can also help ensure consistency and quality in evaluations, even as standards and content types change.
What is the difference between Content Evaluation vs Content Review?
| Aspect | Content Evaluation | Content Review |
|---|---|---|
| Purpose | Assess the quality, relevance, and effectiveness of content | Check for accuracy, compliance, and adherence to guidelines |
| Focus | Overall content performance and improvement areas | Specific errors, violations, or issues in content |
| Credentials | Often requires content strategy or editorial background | Requires knowledge of guidelines and standards |
| Work Environment | Strategic, analytical tasks often involving feedback | Detail-oriented, compliance-focused tasks |
Content Evaluation and Content Review are related roles but serve different purposes. Content Evaluation focuses on assessing overall content quality and effectiveness, while Content Review emphasizes checking for accuracy and guideline compliance. Both roles are essential in content management but differ in scope and focus.
What are the key skills and qualifications needed to thrive as a content evaluator, and why are they important?
To thrive as a Content Evaluator, you need strong analytical skills, attention to detail, and proficiency in language and grammar, often supported by a relevant degree or experience in content editing or moderation. Familiarity with content management systems (CMS), data annotation tools, and sometimes specific guidelines or certifications is essential. Excellent communication, critical thinking, and impartial judgment help evaluators provide balanced feedback and maintain content quality. These skills ensure that digital content meets established standards, aligns with organizational goals, and provides a positive user experience.
More about Content Evaluation jobs
What cities are hiring for Content Evaluation jobs?
Cities with the most Content Evaluation job openings:
What states have the most Content Evaluation jobs?
States with the most job openings for Content Evaluation jobs include:
What job categories do people searching Content Evaluation jobs look for?
The top searched job categories for Content Evaluation jobs are:
Part-time
Re-posted 18 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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