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Evening Amazon Data Annotation Jobs (NOW HIRING)

... Amazon shopping journey. Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to ...

... Amazon shopping journey. Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to ...

... Amazon shopping journey. Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

... Amazon shopping journey Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and ...

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Evening Amazon Data Annotation information

What is the difference between Evening Amazon Data Annotation vs Amazon Data Labeler?

AspectEvening Amazon Data AnnotationAmazon Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, part-time or full-timeRemote, flexible hours, part-time or full-time
Industry UsageCommonly used for image, video, and text annotation tasks on Amazon platformsUsed for labeling data to train AI models on Amazon projects

Both roles involve data annotation tasks for Amazon, requiring similar skills and work environments. The main difference is that 'Evening Amazon Data Annotation' emphasizes working during evening hours, while 'Amazon Data Labeler' is a broader term for data labeling roles across Amazon projects. Both positions are suitable for remote work and require attention to detail, making them comparable options for those interested in Amazon data annotation jobs.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the task and the worker's experience. These roles often involve labeling images, videos, or text data using annotation tools and may be part-time or flexible in schedule.

What does data annotation pay per hour?

The hourly pay for an Evening Amazon Data Annotation role typically ranges from $10 to $15 per hour, depending on experience and location. These positions often require attention to detail and familiarity with annotation tools, and pay rates can vary between companies and regions.

Can I work 4 hours at Amazon?

As an Amazon Data Annotation associate, you can often choose flexible shifts, including part-time options like 4-hour shifts, depending on the availability and scheduling needs. However, shift lengths and schedules are determined by the employer and may vary by location and role requirements.

Will Amazon really pay you to work from home?

Amazon Data Annotation jobs are typically remote positions that pay employees for their work from home. Compensation is usually provided through direct deposit, and the roles often require attention to detail and familiarity with annotation tools. However, pay rates and work arrangements can vary by position and location.
More about Evening Amazon Data Annotation jobs
What cities are hiring for Evening Amazon Data Annotation jobs? Cities with the most Evening Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Evening Amazon Data Annotation jobs? States with the most job openings for Evening Amazon Data Annotation jobs include:
Amazon Core Search Organization - Language Engineer, Core Search

Amazon Core Search Organization - Language Engineer, Core Search

Amazon

Seattle, WA • On-site

Full-time

Posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,886 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are the MIDAS team within the Amazon Search organization. We own the end-to-end human annotation requirements for our product partners. This is an opportunity to join a high-performing team that helps customers worldwide find and discover the best products, meet their personalized needs with the right product details, and receive comparisons, recommendations, and more on Amazon.

This role is high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, operations, and engineering teams.
We are looking for a Language Engineer to join MIDAS to write intuitive, labeler-friendly annotation guidelines that enable measurement of search quality, support data wrangling and analysis, define specifications for labeling UI templates, and report labeled-data quality metrics to deliver on stakeholder requirements and improve the customer experience. To achieve high accuracy and consistency in labeled data outputs, Language Engineers apply linguistic (e.g., semantics, syntax, pragmatics) and scripting expertise to solve natural language processing and language understanding challenges.
Key job responsibilities
Design and develop data annotation guidelines and workflows.
Manage and process large amounts of structured and unstructured data.
Adopt and design quality control metrics and methodology to evaluate the quality of data annotation.
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
Handle annotation & data investigation requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.
Collaborate with scientists, engineers, and product managers in defining metrics, guidelines, and workflows.
Initiate and contribute towards improvement projects, present solution proposals, and implement them.
Establish processes and mechanisms to onboard and train junior data associates on an ongoing basis.
Handle work prioritization and deliver based on business priorities.
Be flexible in changes to conventions deployed in response to customers' requests and change workflows accordingly.
About the team
Amazon is among the world's top 10 most-visited websites, and Amazon Search Organization sits at the center of how hundreds of millions of customers shop-processing billions of queries to find products. Within Amazon Search, the MIDAS team delivers high-quality labeled data at scale to train and evaluate AI models and produce metrics that measure customer experience

We operate with agility, deep linguistic expertise, strong data integrity, self-service enablement, and frugal use of resources. We partner closely with applied science, engineering, and product teams to improve semantic matching, ranking, computer vision, image processing, and augmented reality.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US