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Remote Amazon Data Annotation Jobs in Philadelphia, PA

Ruri Software Technologies LLC

Sr. AWS Architect

Camden, NJ · On-site +1

$65.25 - $85.50/hr

Sr. AWS Architect Remote - Customer is in Camden, NJ HM seeking candidates Who are more AWS ... the data from S3 into data warehouse built using Amazon Redshift., Develop design of data ...

YO AI Labs

Korean Language Expert

Philadelphia, PA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

New

M3USA

Head of Engineering (Remote)

Fort Washington, PA · Remote

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

M3USA

Head of Engineering (Remote)

Fort Washington, PA · On-site +1

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

M3USA

Head of Engineering (Remote)

Fort Washington, PA · Remote

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

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All JobsAmazon Data Annotation JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in Philadelphia, PA

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.

What are popular job titles related to Remote Amazon Data Annotation jobs in Philadelphia, PA?

For Remote Amazon Data Annotation jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Annotation jobs in Philadelphia, PA look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Amazon Data Annotation jobs?

Cities near Philadelphia, PA with the most Remote Amazon Data Annotation job openings:

Remote Amazon Data Annotation jobs near you

Sr. AWS Architect

Camden, NJ • On-site, Remote

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

$65.25 - $85.50/hr

Full-time

Re-posted 8 days ago

Job description

Sr. AWS Architect
Remote - Customer is in Camden, NJ
HM seeking candidates Who are more AWS Architect profile, less SAP Consultant. Please source and submit!
AWS primary and they should have knowledge of how SAP ERP works.
• Design data ingestion and data processing pipelines to move the data from S3 into data warehouse built using Amazon Redshift., Develop design of data visualization layer that will be built using Amazon Redshift for Amazon Quicksight.
Job Summary/Responsibilities
• This role is the main delivery lead role for entire onsite/offshore data team from the Vendor point of view.
• This role will perform major technical works and involve in SAP BW-related flows/reports, native hana view design, test for sap bobj reports and ingest the data to AWS using Apache NiFi, create Amazon Quicksight Dashboards and supports custom Apps related issues as needed.
• Work on data ingestion and data processing pipelines using technologies such as Apache NiFi, Amazon MSK, Amazon EMR, PySpark, Scala, Athena, Glue and Data Pipelines to bring the data from Hana into Datalake that resides on Amazon S3.
• Design data ingestion and data processing pipelines to move the data from S3 into data warehouse built using Amazon Redshift.
• Develop design of data visualization layer that will be built using Amazon Redshift for Amazon Quicksight.
• Working Knowledge of Python, JSON, Scala/Pyspark
• Knowledge of JSON programs to utilize EMR cluster to use the metadata to write pipelines
• Working knowledge on converting orc to parquet
• Helping clients with architectural decisions on applications related to Data Products and Analytics areas
• He will lead all the projects in Analytics side and be responsible for all technical developments related to review using agile methodology, tracking tasks using JIRA, validate day to day development activities, deployment of technical objects into the production system & technical documentation of all projects developed
• He will also be responsible for conducting workshops and cross-functional training for end users as needed.
What are the top 3 Must Haves for this role?
SAP HANA, SAP BW, AWS Cloud knowledge and Technical PM knowledge
How many Years of Experience are you looking for? Min. 10 to 12 years
Required Skills SAP HANA, SAP BW, AWS Cloud knowledge and Technical PM knowledge
Preferred Skills AWS Cloud technologies, Apache Nifi

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