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Annotation Finance Jobs (NOW HIRING)

You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ... A beautiful, well-stocked office in NYC's Financial District. * Flexible vacation and work-from ...

... to annotation to delivery. We design and create datasets from scratch, recruit and manage the ... About the Role We're hiring a Director of Finance to own the financial backbone of HumanSignal, the ...

... to annotation to delivery. We design and create datasets from scratch, recruit and manage the ... About the Role We're hiring a Director of Finance to own the financial backbone of HumanSignal, the ...

Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...

... financial goals. As a Data Domain Architect Lead, you will manage a team to develop machine learning solutions through data annotation, curation, and validation while collaborating with other teams ...

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Annotation Finance information

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$21K

$53.4K

$93.5K

How much do annotation finance jobs pay per year?

As of Aug 4, 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 July 2026, with employment types broken down into 1% As Needed, 43% Full Time, 53% Part Time, 2% Contract, and 1% Nights. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $53,410 per year, or $25.7 per hour.

Python Developer _ MRM & Data Annotation (AI/ML)

Tata Consultancy Service Limited

Charlotte, NC โ€ข On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Must Have Technical/Functional Skills
Python , MRM , Data Annotator ,Agile concepts, CI/CD
10+ years experience
Roles & Responsibilities
โ€ข 10+ years of hands experience in Python , MRM , Data Annotator
โ€ข Build and maintain Python pipelines for data ingestion, preprocessing, and model feature preparation.
โ€ข Implement MRM controls such as model documentation, versioning, validation evidence, and audit trails.
โ€ข Develop tools for annotation workflow automation (task assignment, QA sampling, and label consistency checks).
โ€ข Collaborate with risk, compliance, and data science teams to align model development with governance standards.
โ€ข Create reproducible training/evaluation scripts with clear experiment tracking and model lineage.
โ€ข Define and monitor model performance, drift, and data quality metrics across lifecycle stages.
โ€ข Design labeling guidelines and enforce annotation standards to improve downstream model reliability.
โ€ข Perform root-cause analysis for model errors and annotation defects, then drive corrective actions.
โ€ข Build APIs/utilities for secure data access, transformation, and integration with internal platforms.
โ€ข Support model validation activities with technical artifacts, assumptions, and testing evidence.
โ€ข Ensure adherence to data privacy, security, and responsible AI policies in all workflows.
โ€ข Document SOPs, handover notes, and technical runbooks for operational continuity.
Generic Managerial Skills, If any
โ€ข Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
โ€ข Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$125,000 a year