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Annotation Finance Jobs in Seattle, WA (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · On-site

$97K - $121K/yr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

Centific

Director, Client Partner - Meta

Seattle, WA · On-site

Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ... finance. * Own transaction volume and account performance - tracking commercial and delivery ...

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All JobsAnnotation Finance JobsAnnotation Finance Jobs in Seattle, WA

Annotation Finance information

See Seattle, WA salary details

$23.9K

$60.8K

$106.4K

How much do annotation finance jobs pay per year?

As of Sep 14, 2026, the average yearly pay for annotation finance in Seattle, WA is $60,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $68,300.00 per year, depending on experience, location, and employer.

What is an annotation finance job?

An Annotation Finance job typically involves labeling and categorizing financial data to train machine learning models used in fintech applications, such as fraud detection, risk assessment, and financial forecasting. Professionals in this role review and annotate various financial documents, transactions, or datasets to ensure the accuracy and quality of the training data. Attention to detail and a good understanding of financial terminology are important for this position. Annotation Finance specialists may work for financial institutions, technology companies, or data labeling firms. Their contributions are crucial for developing reliable AI systems in the finance sector.

What are common challenges faced by professionals working in annotation finance, and how can they be addressed?

Professionals in Annotation Finance often face challenges related to maintaining high data accuracy and consistency, especially when working with large volumes of financial documents or transactions. Ensuring compliance with evolving regulatory standards and managing sensitive financial information securely are also key concerns. To address these challenges, it's important to stay updated on industry best practices, utilize robust annotation tools, and communicate closely with team members and compliance officers. Regular training and adopting quality assurance protocols can further enhance data reliability and workflow efficiency.

What are the key skills and qualifications needed to thrive as an annotation finance specialist, and why are they important?

To thrive as an Annotation Finance Specialist, you need a solid understanding of financial concepts, data analysis, and attention to detail, typically supported by a degree in finance, accounting, or a related field. Familiarity with data annotation tools, financial modeling software, and spreadsheet applications like Excel is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with stakeholders. These skills ensure accurate data labeling and analysis, which are critical for driving informed financial decisions and supporting AI or machine learning initiatives in the finance sector.

What is the difference between Annotation Finance vs Data Analyst?

AspectAnnotation Finance
Primary RoleAnnotating financial data for machine learning models in finance
Required SkillsFinancial knowledge, data annotation, attention to detail
Work EnvironmentData labeling teams, finance tech companies
CertificationsBasic financial certifications may help, but not mandatory

Annotation Finance focuses on labeling financial data for AI applications, requiring financial understanding and data annotation skills. Data Analysts analyze and interpret data to inform business decisions, often involving data cleaning and reporting. While both roles work with data, Annotation Finance is specialized in preparing data for machine learning, whereas Data Analysts focus on data analysis and insights.

What are popular job titles related to Annotation Finance jobs in Seattle, WA?

For Annotation Finance jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Annotation Finance jobs in Seattle, WA look for?

The top searched job categories for Annotation Finance jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Annotation Finance jobs?

Cities near Seattle, WA with the most Annotation Finance job openings:

Annotation Finance jobs near you
Infographic showing various Annotation Finance job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $60,782 per year, or $29.2 per hour.

Finance Manager, Frontier AI Assets

Bellevue, WA • On-site

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

Full-time

Posted 13 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,180 frontline employees who took The Breakroom Quiz

Job description

Amazon is hiring a highly effective Finance Manager to partner with the Frontier AI Assets (FAI) team in leading our Human-in-the-Loop (HITL) Data Annotation Network. In this role, you are the strategic financial business partner to our AI Data Operations and Engineering leaders working to deliver a comprehensive portfolio of high-value, trusted AI assets, enabling frontier model capabilities for Amazon businesses and external customers. These assets are developed in-house (1P) and sourced from a curated network of third-party (3P) partners for certification of downstream model impact as part of the collection process.


In this high-impact role, you will establish financial frameworks, own full P&L oversight and financial modeling for complex unit economics across our global operations network of specialized domain experts (coding, STEM, legal, reasoning), and drive capital allocation efficiency across our data annotation supply chain. If you are looking for a role to apply your financial acumen to deliver insights and drive high-velocity decision making to help shape how AI models perform real-world actions, learn from human feedback, and drive results with key performance indicators that balance quality, speed, cost and impact then this role is for you!
A successful candidate will love to learn and be curious and dive deep to understand and identify business trends, analyze quantitatively, problem-solve and prioritize. Strong oral and written communication skills are crucial, as well as the ability to work autonomously with a proven work ethic and track record of delivering results.
Key job responsibilities
Financial Ownership & Strategic FP&A: Drive end-to-end financial forecasting, annual planning, and monthly variance analysis for our global HITL operations network.
Unit Economics & Cost Modeling: Develop dynamic cost models analyzing cost-per-unit and cost-per-hour across varied worker tiers, skill complexities, and technical domains.
Cross-Functional Business Partnership: Partner directly with AI Operations and Engineering teams to align data procurement budgets with model training schedules and capacity planning.
Vendor & Network Optimization: Evaluate and identify spend optimization opportunities across the global network to optimize cost, throughput, and output quality.
Governance & Controls: Implement scalable operational tracking and cost controls to ensure budget accuracy as operations scale.

What Amazon employees say

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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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