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Remote Amazon Data Annotation Jobs in Monee, IL (NOW HIRING)

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL ยท Remote

$140K - $200K/yr

Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

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Kobie Marketing

AI Engineer

Chicago, IL ยท Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Vermillio

Product Manager

Chicago, IL ยท Remote

Architect how we transform large-scale data systems (annotation, content detection, attribution ... Opportunity for remote work Nice to Have * Background in creator economy, music, media, or IP ...

Vermillio

Product Manager

Chicago, IL ยท On-site +1

Architect how we transform large-scale data systems (annotation, content detection, attribution ... Opportunity for remote work Nice to Have * Background in creator economy, music, media, or IP ...

Pacvue

Senior Product Marketing Manager

Chicago, IL ยท Remote

$130K - $145K/yr

Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies ... Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive ...

Huron Consulting Group

GenAI Engineer, Associate

Chicago, IL ยท Remote

$95K - $129K/yr

Build and orchestrate agentic AI workflows that coordinate multiple tools, models, and data sources ... Hands-on experience with AWS generative AI tooling, such as Amazon Bedrock, AgentCore, and related ...

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Remote Amazon Data Annotation information

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 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 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.

Remote Amazon Data Annotation jobs near you