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Entry Level Work From Home Ai Data Labeling Jobs

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1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

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1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

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1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

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1099 Position Company background AIL has been in business for over 68 years. We are a company that works with over 40,000 different labor unions, including the NFL, NBA & MLB, with over 5 million

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1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

New

Be Seen First

1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

New

Be Seen First

1099 Position Company background AIL has been in business for over 68 years. We are a company that works with over 40,000 different labor unions, including the NFL, NBA & MLB, with over 5 million

New

Be Seen First

1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

Be Seen First

1099 Position Company background AIL has been in business for over 68 years. We are a company that works with over 40,000 different labor unions, including the NFL, NBA & MLB, with over 5 million

New

Be Seen First

1099 Position Company background AIL has been in business for over 68 years. We are a company that works with over 40,000 different labor unions, including the NFL, NBA & MLB, with over 5 million

New

Be Seen First

1099 Job Position summary American Income Life is a leading insurance and supplemental benefits provider. The company provides its clients with value and unbeatable customer service with complete

New

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Entry Level Work From Home Ai Data Labeling information

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How much do entry level work from home ai data labeling jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level work from home ai data labeling in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is entry level work from home AI data labeling?

Entry level work from home AI data labeling involves reviewing and categorizing data—such as images, text, or audio—so that artificial intelligence systems can learn from it. Data labelers typically tag or annotate content following specific guidelines provided by the employer. This job can be performed remotely with minimal prior experience, making it accessible for beginners who have basic computer skills and attention to detail. The work is essential for improving the accuracy and performance of AI models in various applications.

What are some common challenges faced by entry level work from home AI data labeling professionals, and how can they be addressed?

Entry-level AI data labeling professionals working from home often encounter challenges such as maintaining consistent focus during repetitive tasks, managing communication across distributed teams, and understanding detailed labeling guidelines. To address these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and actively participate in team check-ins or online forums to clarify instructions. Many companies also provide training resources and regular feedback to support ongoing improvement and accuracy.

What are the key skills and qualifications needed to thrive as an entry level work from home AI data labeling specialist?

To thrive as an Entry Level Work From Home AI Data Labeling Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow guidelines accurately; a high school diploma is often sufficient. Familiarity with data labeling platforms, annotation tools, and sometimes spreadsheet software is typically required, though on-the-job training is common. Reliability, time management, and the ability to work independently are standout soft skills for remote success. These capabilities ensure that labeled data is accurate and consistent, which is crucial for training high-quality AI models.

What is the difference between Entry Level Work From Home Ai Data Labeling vs Entry Level Work From Home Data Annotation?

AspectEntry Level Work From Home Ai Data LabelingEntry Level Work From Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, machine learningAI training, machine learning
Job FocusLabeling data for AI modelsAnnotating data for AI algorithms

Both roles involve remote work with similar skills, but Ai Data Labeling specifically emphasizes labeling data to train AI models, while Data Annotation may include broader tasks like tagging images, videos, or text for various AI applications. Understanding these nuances helps job seekers find the right fit in the AI data preparation industry.

What are entry-level work from home AI data labeling jobs?

Entry-level work from home AI data labeling jobs involve reviewing and annotating data such as images, text, or audio to help train machine learning models. These roles typically require attention to detail, basic computer skills, and often use specialized labeling tools; they usually do not require prior experience or advanced certifications. The jobs offer flexible schedules and are suitable for beginners interested in AI and data processing.
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Infographic showing various Entry Level Work From Home Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Search and Data Labelling Rater - German

Welo Data

Austin, TX • Remote

$7/hr

Part-time

Re-posted 26 days ago


Job description

We are looking for detail-oriented Search & Data Labeling Raters specifically - German Language to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation 
  • Job Type: Freelance contract
  • Pay Rate: $7 USD/hour
  • Location: Remote

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!

$7 - $7 an hour

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

About Welo Data 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.