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Annotation Finance Jobs in Missouri (NOW HIRING)

Performs annotation and clipping of long-term video EEG data independently (academic locations only ... and financial well-being. * Comprehensive medical, dental, vison, life insurance, and legal ...

Performs annotation and clipping of long-term video EEG data independently (academic locations only ... and financial well-being. * Comprehensive medical, dental, vison, life insurance, and legal ...

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.

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.

What are popular job titles related to Annotation Finance jobs in Missouri? For Annotation Finance jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Annotation Finance jobs? Cities in Missouri with the most Annotation Finance job openings:

General Manager, AI Data Labeling (California)

Wing Assistant

California, MO • On-site

$170K - $250K/yr

Full-time

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


Job description

General Manager, AI Data Labeling

Remote, San Francisco

About Wing

Wing is one of the world's largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, we’re launching a dedicated AI data labeling & annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. We’re hiring a General Manager to run this business end-to-end.

About the Role

As General Manager, AI Data Labeling, you will own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building. You’ll build the business from zero, close key customers, help set up the operating engine, and report directly to Wing’s CEO.

Responsibilities
  • Acquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outbound
  • Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation)
  • Attend meetings, consultations, events, etc. in person as needed and build key relationships
  • Build durable relationships with researchers, data/infra leaders, procurement, and legal; expand accounts
  • Own the business plan, pricing, margin targets, forecasting, and budget adherence
  • Report on progress to senior leadership, foster a culture of accountability, transparency, and operational rigor
Requirements
  • Primarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed
  • Bachelor's degree in any discipline, ideally from a top institution
  • Outgoing, social, gregarious personality, willingness, and capability to always be building relationships
  • Great management skills: you will, to an extent, be responsible for a giant piece of an entire business unit and all that comes with it, people management, budgets, interfacing with finance, legal, operations, and more
  • Strong preference for someone who has led Sales & Commercials: Expert in complex MSAs/SOWs, pricing, and margin management; trusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals
  • Expert in complex MSAs/SOWs, pricing strategy, and margin management
  • Proven builder of multidisciplinary teams; excellent stakeholder management
  • Digital native (Google Workspace, Sheets, CRM)
Nice-to-haves
  • Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal)
  • Prior success taking a services P&L from $0 to $10M+ with healthy unit economics
  • Strong interest and understanding in artificial intelligence, machine learning, and LLMs

Salary: $170,000 - $250,000 a year

Benefits & Compensation
  • Base compensation: $170K–$250K, with increases as the business grows
  • Equity: generous grant vested over 4 years
  • Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals
  • A $1K monthly allowance for meals
  • Company-sponsored Equinox membership
  • Health insurance

Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.

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