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Senior Data Annotation Analyst Jobs in Utah (NOW HIRING)

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business ... Partner with business analysts, product owners, and stakeholders to understand and translate ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business ... Partner with business analysts, product owners, and stakeholders to understand and translate ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Following the launch of Forge , Entrata's proprietary AI engine, we are looking for a Senior Data ... Perform model error analysis and identify opportunities to improve model behavior and output ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Following the launch of Forge , Entrata's proprietary AI engine, we are looking for a Senior Data ... Perform model error analysis and identify opportunities to improve model behavior and output ...

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Perform model error analysis and identify opportunities to improve model behavior and output ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI ...

Sr Data Engineer

Salt Lake City, UT · Hybrid

$110K - $120K/yr

As a Senior Data Engineer, you'll help shape how data moves, connects, and supports decisions ... Collaborate with data analysts, BI analysts, application developers, PMO, and business users to ...

New

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... power reporting, analytics, and business decisions at scale. This is a high-impact individual ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ... Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to ...

Video Analysis: Carefully review and annotate video footage to identify traffic events and ... Provide constructive feedback to refine our data annotation tools and processes. * Collaboration:

... analytical systems applied to design information and user behavior • Works closely with ... data, as well as in surfacing various analytically-based features in core products • Works on ...

Showing results 21-40

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

What are the most commonly searched types of Data Annotation Analyst jobs in Utah?

The most popular types of Data Annotation Analyst jobs in Utah are:

What cities in Utah are hiring for Senior Data Annotation Analyst jobs?

Cities in Utah with the most Senior Data Annotation Analyst job openings:

Senior Data Modeler

Salt Lake City, UT • On-site

Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees

$107K - $172K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Key responsibilities

  • Designs, implements, and documents complex data architecture and data modeling solutions using relational, dimensional, and NoSQL databases.

  • Creates and reviews data models, analyzes data to verify business requirements, and documents data flows and data dictionaries.

  • Participates in architectural discussions, provides expertise on data management, and plays a key role in designing analytical layers in Snowflake.


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

What You'll Do

  • Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.

  • Requirement Analysis: Analyzes data to verify business requirements and design the data models.

  • Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversee and govern the expansion of existing data architecture.

  • Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.

  • Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.

  • Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.

  • Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.

  • Leading and mentoring - Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

Preferred Experience

  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort

  • Healthcare domain experience preferred especially EHR/Clinical domain

  • Exposure working on Snowflake platform.

  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.

  • Working experience on ERStudio or similar data modeling tool

  • Extensive experience of ER and Dimensional modeling concepts

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

WhereYou'llWork

Our Hybrid Flex approach is builton presencewith a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplacethat'sflexible, connected, and future focused.

In a Hybrid-Flex role,you'llwork in the office at least two days a week for collaboration and connection. In a Remote Flex role,you'llwork virtually, with a few in-office visits each year formeaningfulmoments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in anystateslistedonthis job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$107,901.00 - $172,642.00

Skills

Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


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