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Senior Data Annotation Analyst Jobs in Edgewood, KY

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Will be responsible for Analysis, Design, Coding, Maintenance, and Implementation of applications ...

Fidelity Investments

ETRA Senior Data Analyst

Covington, KY · On-site

$83K - $105K/yr

The Role As a Senior Data Analyst, you will be working closely with members of Fidelity's Technology Risk functions to use data to provide insight into risk. You will participate in all phases of a ...

Kemper

Senior Data Systems Analyst

Cincinnati, OH · On-site

$82K - $104K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Flexton Inc.

Sr Data Analyst - PowerBI

Blue Ash, OH · On-site

$79K - $99K/yr

The Data Analyst will be responsible for the collection, analysis, and interpretation of large datasets to uncover trends, identify opportunities, and support performance improvement initiatives.

Jobtailor

Senior Data Business Analyst

Cincinnati, OH · On-site

$75 - $110/hr

Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight ...

TQL

Senior Data Scientist

Cincinnati, OH

As a Senior Data Scientist, you'll serve as a technical leader and strategic partner, designing ... You'll influence architecture decisions, guide analytics strategy, and mentor other team members ...

ClifyX

Senior Data scientist

Cincinnati, OH · On-site

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... for data analysis and manipulation. • Proficiency with statistics, design of experiments ...

Salesforce, Inc.

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data Scientist to join the team. We explore, invent, build and scale ...

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All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Edgewood, KY

Senior Data Annotation Analyst information

See Edgewood, KY salary details

$54.2K

$97.8K

$133.6K

How much do senior data annotation analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior data annotation analyst in Edgewood, KY is $97,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $107,000.00 per year, depending on experience, location, and employer.

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 cities near Edgewood, KY are hiring for Senior Data Annotation Analyst jobs?

Cities near Edgewood, KY with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you
Infographic showing various Senior Data Annotation Analyst job openings in Edgewood, KY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $97,836 per year, or $47 per hour.

Senior Data Governance Analyst

Cincinnati, OH • On-site

Fifth Third Bank

7.5

Company rating: 7.5 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

106th of 174 rated banks

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Learn more about Fifth Third Bankexternal

Full-time

Posted 20 days ago

Job description

Make banking a Fifth Third better®
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
GENERAL FUNCTION
Senior Data Governance Analysts are responsible for leading complex analysis and problem-solving efforts that improve data quality, support governance objectives, and strengthen business decision-making.
This role partners closely with business, data, technology, and governance stakeholders to understand business processes, identify opportunities for improvement, and deliver practical solutions to data-related challenges.
The Senior Analyst operates with a high degree of independence and judgment while contributing to the team's broader goals and priorities. This role is a key contributor to building and maintaining confidence in data used across Commercial processes and reporting.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Data Quality Assessment & Issue Analysis
  • Perform analysis of data quality issues across business processes, systems, and reporting environments
  • Identify root causes and document findings, impacts, and recommendations
  • Support prioritization of issues based on business risk and operational significance
Governance Execution & Adoption
  • Apply governance standards, policies, and practices within assigned initiatives and workstreams
  • Partner with stakeholders to clarify requirements, definitions, ownership, and accountability
  • Support governance activities that improve consistency and transparency of data management practices
Control Analysis & Monitoring Support
  • Analyze monitoring results and control outputs to identify trends, risks, and improvement opportunities
  • Assist in evaluating control effectiveness and operational impact
  • Contribute to assessments of data quality and data confidence within assigned domains
Workstream Delivery & Execution
  • Independently manage assigned initiatives, assessments, and analytical efforts
  • Coordinate activities across stakeholders to achieve defined objectives and deliverables
  • Escalate risks, issues, and dependencies as appropriate
Business Partnership & Advisory Support
  • Collaborate with stakeholders to understand business needs and data challenges
  • Translate analytical findings into practical recommendations and next steps
  • Support development of solutions that balance business needs, risk considerations, and operational feasibility
Continuous Improvement
  • Identify opportunities to improve processes, controls, and data management practices
  • Contribute ideas, documentation, and lessons learned that improve team effectiveness
  • Share knowledge and expertise with peers across the organization

SUPERVISORY RESPONSIBILITIES
  • This role does not have formal people management responsibilities
  • May provide guidance, knowledge sharing, and support to less experienced analysts
  • Serves as a subject matter resource within assigned areas of responsibility
  • Contributes to a collaborative team environment focused on shared success and continuous improvement

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED
Experience / Knowledge
  • Experience in data analysis, data quality, business analysis, or data governance within a commercial or financial services environment
  • Understanding of business processes and their relationship to data creation, usage, and reporting
  • Familiarity with data quality concepts, control frameworks, and operational processes
Analytical & Problem-Solving Skills
  • Strong analytical and critical thinking skills
  • Ability to investigate issues, identify root causes, and develop practical recommendations
  • Ability to organize and analyze large amounts of information and draw meaningful conclusions
Execution & Delivery
  • Demonstrated ability to independently manage complex assignments from initiation through completion
  • Ability to balance multiple priorities while meeting deadlines and quality expectations
  • Experience working effectively in cross-functional environments
Communication & Collaboration
  • Ability to communicate complex topics clearly to both technical and non-technical audiences
  • Strong written, verbal, and presentation skills
  • Effective relationship-building and stakeholder-management skills
Ways of Working
  • Demonstrates ownership and accountability for assigned work
  • Exercises sound judgment and professional curiosity
  • Approaches challenges with structure, discipline, and attention to detail
  • Focuses on delivering practical, business-relevant outcomes
  • Continuously seeks opportunities to improve processes, data quality, and operational effectiveness

WORKING CONDITIONS
  • Normal office environment with little exposure to dust, noise, temperature and the like.
  • Extended viewing of CRT screen.

Senior Data Governance Analyst
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.
LOCATION -- Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

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