1

Annotation Finance Jobs in Draper, UT (NOW HIRING)

Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... other financial benefits * Company paid Basic Life, AD&D * Short-term and long-term disability ...

Annotation Finance information

See Draper, UT salary details

$19.6K

$49.9K

$87.4K

How much do annotation finance jobs pay per year?

As of Jun 24, 2026, the average yearly pay for annotation finance in Draper, UT is $49,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,300.00 and $56,100.00 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.

What cities near Draper, UT are hiring for Annotation Finance jobs? Cities near Draper, UT with the most Annotation Finance job openings:
Data Labeler Manager

Data Labeler Manager

Tesla

Draper, UT • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and serves as the ground truth for Tesla's artificial intelligence. The team works cohesively with engineering teams to launch customer-facing releases.

The Data Labeler Manager will lead a team of Data Labelers that labels in 3D image data for neural network training. A successful candidate will have high attention to detail, an appreciation for data integrity, leadership skills to drive efficiency for medium-sized teams of annotators and adhere to clear instructions directed by leadership to deliver results.

What You'll Do
  • Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1's, and complete monthly analyst reports
  • Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
  • Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
  • Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
  • Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
  • Ensure documentation and daily planning for the team is accurate and consistently updated
  • Ensure team alignment with company policies
  • Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping

What You'll Bring
  • Experience managing and motivating medium-sized teams that perform manual operations
  • Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
  • Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
  • Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
  • Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
  • Commitment to data accuracy and throughput

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

What Tesla employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom