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Annotation Finance Jobs in Oregon (NOW HIRING)

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Ability to understand P&L financials. * Ability to maintain professionalism and confidentiality ...

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Ability to understand P&L financials. * Ability to maintain professionalism and confidentiality ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Track and report program health (status, milestones, risks, dependencies, financials as applicable ... annotation initiatives, feature store enablement, and model monitoring foundations (as applicable ...

Senior Business Intelligence Analytics Engineer

OR · On-site +1

$51 - $66.25/hr

... financial reporting, and product analytics. This is an end-to-end role: you think in systems, not ... Design and maintain Snowflake semantic views with rich metadata annotation, business definitions ...

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Annotation Finance information

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.

How hard is it to get hired by data annotation?

Getting hired for data annotation roles generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the application process relatively accessible, though competition can vary based on the employer and job volume.

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 is annotation in finance?

In finance, annotation refers to the process of adding notes, comments, or clarifications to financial documents, data, or models to improve understanding and accuracy. Financial analysts and professionals often use annotation tools to highlight key information or discrepancies, supporting better decision-making and communication. Proficiency with relevant software and attention to detail are important skills for this role.

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 is a financial annotation?

A financial annotation involves adding detailed notes or labels to financial data, such as transactions, reports, or market information, to improve understanding and analysis. This task often requires attention to accuracy and familiarity with financial terminology and tools like spreadsheets or annotation software.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like autonomous vehicles, natural language processing, and computer vision.
What are popular job titles related to Annotation Finance jobs in Oregon? For Annotation Finance jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Annotation Finance jobs in Oregon look for? The top searched job categories for Annotation Finance jobs in Oregon are:
What cities in Oregon are hiring for Annotation Finance jobs? Cities in Oregon with the most Annotation Finance job openings:
Remote Finance Analyst - AI Trainer ($50-$60 per hour)

Remote Finance Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Coos Bay, OR • Remote

$50 - $60/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.