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Annotation Finance Jobs in Washington (NOW HIRING)

Manage and curate evaluation datasets, test sets, and annotation workflows * Enable continuous ... physically, financially and emotionally through the big milestones and in your everyday life.

Manage and curate evaluation datasets, test sets, and annotation workflows * Enable continuous ... physically, financially and emotionally through the big milestones and in your everyday life.

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom ...

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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 Washington? For Annotation Finance jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Annotation Finance jobs? Cities in Washington with the most Annotation Finance job openings:
Agentic AI Evaluation Engineer

Agentic AI Evaluation Engineer

Comcast

Washington, DC

$142K - $213K/yr

Full-time

Re-posted 26 days ago


Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

The Agent Evaluation team is responsible for testing whether AI agents return the correct and expected responses. We build the framework, metrics, and test cases that validate agent behavior, accuracy, and reliability before release. Our goal is to ensure agents perform consistently and meet product and user expectations.

Job Description

Job Description:

  • Design and develop agent evaluation pipelines across development, staging, and production environments
  • Define and standardize evaluation metrics and benchmarks for conversational AI quality (accuracy, relevance, CX, safety)
  • Build automated and human-in-the-loop evaluation systems to assess agent performance
  • Manage and curate evaluation datasets, test sets, and annotation workflows
  • Enable continuous evaluation and monitoring of agents in production
  • Integrate evaluation into CI/CD pipelines to support safe and efficient releases
  • Conduct experiments, A/B testing, and case studies to drive improvements in agent quality
  • Partner with engineering, and product teams to deliver high-quality AI solutions
  • Create technical documentation and drive best practices across teams
  • Mentor junior engineers and contribute to team growth

Preferred skills:

  • Experience in customer support AI or chatbot platforms
  • Understanding of responsible AI (bias, fairness, hallucination mitigation)


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.


Skills:

CI/CD; Machine Learning (ML); Large Language Models (LLMs); Curious Mindset; AI Agents; Benchmarking; Evaluation Metrics


Salary:

Primary Location Pay Range: $142,651.46 - $213,977.19

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.


Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.


Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years