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Data Encoder Jobs in Seattle, WA (NOW HIRING)

Amazon

Applied Scientist, Core Search

Seattle, WA · On-site

... encoder rankers, and multi-objective optimization systems that turn billions of products into the ... The role spans the full model lifecycle, from mid-training reasoning models on shopping data to ...

Amazon

Applied Scientist, Core Search

Seattle, WA · On-site

... encoder rankers, and multi-objective optimization systems that turn billions of products into the ... The role spans the full model lifecycle, from mid-training reasoning models on shopping data to ...

Amazon

Applied Scientist, Core Search

Seattle, WA · On-site

... encoder rankers, and multi-objective optimization systems that turn billions of products into the ... The role spans the full model lifecycle, from mid-training reasoning models on shopping data to ...

Auger

Principal Software Development Engineer

Bellevue, WA · On-site

$151K - $203K/yr

Practice operating excellence and test-driven engineering for data: define what "correct" means for critical datasets, and encode that in dev → test → prod paths. Institutionalize observability ...

Databricks

Systems PhD - Software Engineer

Bellevue, WA · On-site

$140K - $180K/yr

Data security * Resource Management * Transaction coordination * Efficient storage structures (encoding, indexes) * Automatic physical data optimization What we look for: * PhD in databases or ...

Databricks

Systems PhD - Software Engineer

Bellevue, WA

$140K - $180K/yr

Data security * Resource Management * Transaction coordination * Efficient storage structures (encoding, indexes) * Automatic physical data optimization What we look for: * PhD in databases or ...

CoreWeave

Senior Software Engineer, Applied AI

Seattle, WA · On-site

$182K - $242K/yr

These systems encode CoreWeave's differentiated operating knowledge into software, enabling scalable, data-driven decision-making across the business. About the role: As a Senior Software Engineer ...

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Data Encoder information

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How much do data encoder jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data encoder in Seattle, WA is $35.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $66.60 per hour, depending on experience, location, and employer.

What is the work of data encoder?

A data encoder is responsible for inputting, updating, and maintaining data in computer systems or databases. They often use software tools like spreadsheets or database management systems and need attention to detail to ensure accuracy and data integrity.

What is a Data Encoder job?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What is the data encoder job salary?

The salary for a data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced data encoders with specialized skills can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What are the key skills and qualifications needed to thrive in the Data Encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

What jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, or experienced consultants. These positions often require advanced education, certifications, or significant expertise, and may involve long hours or high-stakes environments.

Is a data encoder a good job?

A data encoder job involves inputting and managing data accurately, often requiring attention to detail and basic computer skills. It can offer steady employment, typically with flexible hours, but may have limited advancement opportunities and lower pay compared to other roles in data management or IT.

What are the typical daily responsibilities of a Data Encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

What are the most commonly searched types of Data Encoder jobs in Seattle, WA? The most popular types of Data Encoder jobs in Seattle, WA are:
What are popular job titles related to Data Encoder jobs in Seattle, WA? For Data Encoder jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Encoder jobs in Seattle, WA look for? The top searched job categories for Data Encoder jobs in Seattle, WA are:
Data Encoder jobs near you
Infographic showing various Data Encoder job openings in Seattle, WA as of June 2026, with employment types broken down into 4% Internship, 81% Full Time, 10% Part Time, and 5% Contract. Highlights an 78% In-person, 5% Hybrid, and 17% Remote job distribution, with an average salary of $73,545 per year, or $35.4 per hour.
Applied Scientist, Core Search

Applied Scientist, Core Search

Amazon

Seattle, WA • On-site

Full-time

Posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,873 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Amazon Search team's vision is to deliver high quality search results regardless of how customers phrase their search queries. Keyword-based search breaks down when confronted with natural language expressions. Queries like "I have ants in my house," "headphones comparable to Bose," "breakfast foods for someone avoiding sugar," and "scratch resistant flooring for dogs that looks like real wood" require world knowledge, common-sense reasoning, and sophisticated language understanding that customers increasingly expect.
Core Search team is reimagining search architecture using Large Language Models (LLMs): a new LLM stack that already powers Amazon Search, Alexa+, Alexa for Shopping, Help Me Decide, Interests AI, confidential initiatives, and a growing portfolio of Amazon experiences across Stores and Devices

We build this stack as a primitive to supercharge a new generation of natural-language experiences across Amazon.
We are hiring an Applied Scientist to push the science behind this stack: the reasoning LLMs, embedding models, cross-encoder rankers, and multi-objective optimization systems that turn billions of products into the right answer for hundreds of millions of customers. The role spans the full model lifecycle, from mid-training reasoning models on shopping data to aligning the models with customers on the dimensions that matter for shopping: helpfulness, trust, and faithfulness.
You will build with us a natural language AI interface to billions of products, for all Amazon customers


Key job responsibilities
As an Applied Scientist on the team, you will lead science innovation across multiple problems and surfaces. You will:
- Develop personalized multi-modal thinking-LLM techniques that reason about customers, queries, and products.
- Mid-train and post-train large language models on shopping data: domain-adaptive continued pre-training, ireinforcement learning shopping reasoning traces, and instruction tuning for natural-language shopping queries.
- Align models with customer interests on the dimensions such as helpfulness, harmlessness, and faithfulness. Apply Reinforcement Learning (RLVR, RLHF), Direct Preference Optimization (DPO), and customer-behavior-derived reward models.
- Create semantic representations of products, customers, and context (bi-encoder embeddings, contrastive learning, hard-negative mining, cross-lingual training).
- Develop cross-attentive LLM rankers that score candidate products against rich query intent and complex constraints.
- Train multi-objective ranking and optimization systems that balance relevance, purchasability, and personalization.
- Drive improvements on offline benchmarks as well as online experiments.
About the team
Core Search builds the next-generation LLM-powered retrieval and ranking stack for Amazon

We own the stack end-to-end including LLM models, personalization, multi-turn natural-language refinements, routing, the experimentation service, and the partner-facing primitive that other Amazon teams build on top of. The team is highly motivated, collaborative, technically deep, and runs with strong executive sponsorship and strategic visibility. In this role, you will define program strategy, prioritize investments, and shape how AI-driven natural-language search experiences ship across all devices, globally.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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