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Annotation Finance Jobs (NOW HIRING)

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

... annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation. • Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or ...

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Showing results 1-20

Annotation Finance information

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$21K

$53.4K

$93.5K

How much do annotation finance jobs pay per year?

As of Jun 24, 2026, the average yearly pay for annotation finance in the United States is $53,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Annotation Finance jobs
What cities are hiring for Annotation Finance jobs? Cities with the most Annotation Finance job openings:
What states have the most Annotation Finance jobs? States with the most job openings for Annotation Finance jobs include:
What job categories do people searching Annotation Finance jobs look for? The top searched job categories for Annotation Finance jobs are:
Infographic showing various Annotation Finance job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 31% Full Time, 20% Part Time, 6% Temporary, and 41% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $53,410 per year, or $25.7 per hour.
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Welo Data

Redwood City, CA

$142K/yr

Full-time

Posted 12 days ago


Job description

About the Role

We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.

This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.

What You’ll Do
  • Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
  • Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
  • Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
  • Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
  • Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
  • Assist in the creation and refinement of annotation guidelines and evaluation frameworks
  • Collaborate with cross-functional teams to improve operational processes and annotation quality
  • Provide feedback on tools, workflows, and annotation methodologies
Requirements
  • Native-level proficiency in Chinese and strong English communication skills (written and verbal)
  • Excellent attention to detail and ability to follow complex guidelines and processes
  • Strong interest in generative AI, machine learning, and emerging technologies
  • Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
  • Bachelor’s degree or equivalent practical experience
  • Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
  • Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
  • Experience evaluating prompts, responses, images, videos, or AI training datasets
  • QA/testing experience within AI, data operations, or content moderation environments
  • Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
  • Python or scripting knowledge
  • Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.