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Full Time Amazon Data Annotation Jobs in Dallas, TX

Saransh Inc

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Plano, TX (Onsite from Day 1) Job Type: Full Time Experience Required: 12+ years * We are looking ... Build and manage cloud-based data lakes on Amazon S3 * Implement and optimize Snowflake data models ...

HSSSoft

JAVA Developer

Dallas, TX

$50.50 - $65.25/hr

Texas Job Type: Full Time Job Opportunity Required Skills: - Spring Framework 4 (Ryder code includes annotation based as well as XML based config). - Hibernate 4 with Spring Data JPA - J2EE ...

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Full Time Amazon Data Annotation information

Will Amazon pay you $28 an hour to work from home?

Amazon data annotation jobs are typically paid hourly, but the exact rate varies by position and location. While some roles may offer competitive pay, $28 an hour is not a standard rate for Amazon data annotation positions and may depend on experience, skill level, and specific job requirements. It is advisable to review current job postings for accurate compensation details.

Can you make a living off data annotation?

Full Time Amazon Data Annotation jobs can provide a steady income, but earnings depend on factors such as pay rate, hours worked, and experience. Many roles are part-time or freelance, so making a full living may require multiple positions or supplementary income sources. Developing skills in data labeling tools and maintaining consistent work can improve earning potential.

Does Amazon really pay people to work from home?

Amazon Data Annotation jobs are often offered as remote positions, allowing employees to work from home. These roles typically involve reviewing and labeling data using online tools and require a stable internet connection and attention to detail. Amazon provides training and flexible schedules for such remote data annotation work.

What is the difference between Full Time Amazon Data Annotation vs Full Time Amazon Data Labeling?

AspectFull Time Amazon Data AnnotationFull Time Amazon Data Labeling
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; computer-based tasksOffice or remote; computer-based tasks
Employer & Industry UsageAmazon; e-commerce and AI trainingAmazon; AI and machine learning data preparation
Common Search & ComparisonYesYes

Full Time Amazon Data Annotation involves reviewing and marking data to help train AI models, focusing on identifying specific features in images, videos, or text. Full Time Amazon Data Labeling also involves preparing data for AI but may include more detailed categorization or tagging. Both roles require similar skills and are essential for AI development within Amazon's ecosystem.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. These roles often involve labeling images, videos, or text using specialized tools and may require attention to detail and basic computer skills.
What are the most commonly searched types of Amazon Data Annotation jobs in Dallas, TX? The most popular types of Amazon Data Annotation jobs in Dallas, TX are:
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What job categories do people searching Full Time Amazon Data Annotation jobs in Dallas, TX look for? The top searched job categories for Full Time Amazon Data Annotation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Full Time Amazon Data Annotation jobs? Cities near Dallas, TX with the most Full Time Amazon Data Annotation job openings:
Full Time Amazon Data Annotation jobs near you

AWS Data Engineer (12+ yrs) - Full Time

Saransh Inc

Plano, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 10 days ago

Job description

Role: AWS Data Engineer
Location: Plano, TX (Onsite from Day 1)
Job Type: Full Time
 
Experience Required: 12+ years
 
Job Description:
  • We are looking for a Data Engineer to design, build, and optimize scalable data platforms on AWS.
  • The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics.
Skills:
Data science, MuleSoft, Kafka connect, SQL, Data visualization
 
The opportunity:
  • Design, develop, and maintain scalable data pipelines using AWS services
  • Build and manage cloud-based data lakes on Amazon S3
  • Implement and optimize Snowflake data models for reporting and analytics
  • Develop real-time streaming solutions using Apache Kafka
  • Integrate enterprise systems using MuleSoft APIs and connectors
  • Deploy and manage containerized data workloads on AWS EKS
  • Write and optimize complex queries using Amazon Athena
 
Mandatory skills:
  • AWS Cloud Services (S3, Athena, EKS, IAM, monitoring)
  • Snowflake (data modeling, performance tuning, reporting)
  • Apache Kafka (streaming, producers/consumers, real-time pipelines)
  • MuleSoft (API-based integrations, enterprise data flows)
  • Amazon EKS (container orchestration, deployment)
  • Querying Tools: Amazon Athena
  • Data Lakes: S3-based data lake architecture
  • Reporting: Snowflake reporting layer
  • Analytics & Visualization: Tableau