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Remote Amazon Data Annotation Jobs in Pennsylvania

The Pennsylvania State University

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Data Annotation & Landscape Analysis * Annotating drone orthophotos using semantic segmentation ...

Motional

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Entarian

Data Architect

Mechanicsburg, PA · On-site +1

$150 - $180K/hr

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or ... Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon ...

The Pennsylvania State University

$12.50/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... annotation, refined search methods, data analysis and display, and support writing towards ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate ... Strong documentation skills, including code annotation, traceability, and reproducibility.

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Remote Amazon Data Annotation information

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.
What are the most commonly searched types of Amazon Data Annotation jobs in Pennsylvania? The most popular types of Amazon Data Annotation jobs in Pennsylvania are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Pennsylvania? For Remote Amazon Data Annotation jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Pennsylvania look for? The top searched job categories for Remote Amazon Data Annotation jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Amazon Data Annotation jobs? Cities in Pennsylvania with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Philadelphia, PA • Remote

$20/hr

Contractor

Posted 5 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply