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Senior Data Annotation Analyst Jobs in Utah (NOW HIRING)

... analysis, and statistical methods for finding structure in large data sets. Roles and Responsibilities As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on ...

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

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 ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

The data scientist will interact with teams from Account Management to Application Engineering and ... The focus is on extending machine learning, predictive modeling, and analytic components to provide ...

... analytic solutions. The Sr. Technical Consultant has knowledge of core design principles, common data modeling and patterns, project implementation methodology, and a successful track record of ...

You will partner with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to improve how data is stored, processed, and used across the organization. We are seeking applicants ...

Data Entry Seniors

Logan, UT · On-site

$14.75 - $19.50/hr

Data Entry - Senior Department: Capturis Overview The Data Entry Process & Performance Auditor will ... Strong analytical and critical thinking skills; ability to identify trends and recommend solutions.

Showing results 41-60

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:

Sr Data Analyst, Healthcare Claims Audit and Compliance (Hybrid NY)

Layton, UT • On-site

$78K - $98K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Key responsibilities

  • Analyze healthcare datasets to identify trends, anomalies, control gaps, and potential risks.

  • Support audit and compliance activities through data analysis, monitoring, and reporting.

  • Create and maintain dashboards, reports, and monitoring tools to provide insights to stakeholders.


Job description

The Senior Analyst, Audit and Compliance Analytics leverages healthcare data, analytical tools, and business knowledge to support Internal Audit, Compliance Analytics, and Claims Configuration Audit initiatives. This role partners with cross‑functional teams to identify risks, evaluate controls, analyze claims and configuration data, and develop reporting that supports operational excellence, compliance, and payment accuracy. The individual will work on strategic initiatives with visibility across the organization and contribute to data‑driven decision making.

Responsibilities
  • Analyze complex healthcare datasets to identify trends, anomalies, control gaps, and potential compliance or operational risks.
  • Support Internal Audit, Compliance, and Claims Configuration Audit activities through data analysis, audit testing, monitoring, and reporting.
  • Develop advanced SQL, SAS, or other analytical queries to extract, validate, and analyze data from multiple sources.
  • Evaluate data quality and standardize data structures to support consistent reporting and analysis.
  • Create and maintain dashboards, scorecards, reports, and monitoring tools that provide actionable insights to leadership and business stakeholders.
  • Summarize findings, methodologies, and recommendations for technical and non‑technical audiences.
  • Assist in the validation of claims configuration changes, business rules, and operational controls.
  • Document analytical processes, data issues, methodologies, and business requirements.
  • Collaborate with Internal Audit, Compliance, Claims Operations, Configuration, IT, and other business partners.
  • Demonstrate intellectual curiosity and identify opportunities for process, control, and reporting improvements.
  • Perform additional duties as assigned.
Minimum Qualifications
  • Bachelor’s degree from an accredited institution or equivalent work experience.
  • 3+ years of equivalent experience.
  • Proficiency in scripting and programming skills.
  • Experience using MS Office suite, including Microsoft Access, Excel, and Word.
  • Expertise in utilizing data analysis and query tools such as SQL.
  • Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms.
  • Experience with applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Ability to successfully run queries from a data warehouse.
  • Experience innovating and implementing audit techniques.
  • Excellent communication skills.
  • Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline.
  • Experience working with and communicating technical information to multiple levels of technical and non‑technical staff in written and verbal form.
  • Experience prioritizing a heavy workload in a fast‑paced environment.
Preferred Qualifications
  • Master’s degree from an accredited institution.
  • Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration.
  • Experience with analytical programming techniques such as Python and R.
  • Experience with AWS and analytical solutions available on the platform (Redshift, Glue, SageMaker, etc.).
  • Familiarity with programming in JavaScript, D3.js.
  • Familiarity with big data technologies, such as Hadoop, MapReduce, and AWS Kinesis.
  • Demonstrated ability to develop innovative solutions to complex problems, leveraging advanced problem‑solving skills and sound judgment to make critical, independent decisions within area of responsibility.
  • Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods and optimization.
  • Knowledge of health care industry, systems, business strategies and products.
EEO Statement

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. HF Management Services, LLC complies with all applicable laws and regulations. Applicants and employees are considered for positions and are evaluated without regard to race, color, creed, religion, sex, national origin, sexual orientation, pregnancy, age, disability, genetic information, domestic violence victim status, gender and/or gender identity or expression, military status, veteran status, citizenship or immigration status, height and weight, familial status, marital status, or unemployment status, as well as any other legally protected basis. HF Management Services, LLC shall not discriminate against any disabled employee or applicant in regard to any position for which the employee or applicant is otherwise qualified. If you have a disability under the Americans with Disability Act or a similar law and want a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to careers@Healthfirst.org or calling 212‑519‑1798. In your email please include a description of the accommodation you are requesting and a description of the position for which you are applying.

Compensation and Benefits

Hiring Range*: Greater New York City Area (NY, NJ, CT residents): $83,100 - $120,360
All Other Locations (within approved locations): $73,400 - $109,225

  • Medical, dental, and vision coverage.
  • Incentive and recognition programs.
  • Life insurance.
  • 401(k) contributions.

Benefits are subject to eligibility requirements.

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