1

Senior Data Annotation Analyst Jobs in Kentucky (NOW HIRING)

Data Annotation Engineer Location - Louisville, Kentucky (Day 1 onsite) Pay Rate: Market- based on ... Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written ...

... Data Annotation Team Lead to help build and manage our newest team. This person will be deeply ... Prior leadership experience, whether as a team lead, senior individual contributor, trainer, QA ...

$63K - $80K/yr

The ideal Senior Data Analyst is an expert programmer who is fluent in multiple programming languages, has experience with SQL databases and large administrative datasets, and believes in CPL ...

$63K - $80K/yr

Description Senior Data Analyst Position Details: Employment Type: Full Time Location: Remote Reports to: AVP of RCM Analytics You must reside in one of these states to be eligible for this position:

$63K - $80K/yr

Senior Data Analyst Full Time Clerical Redstone Arsenal, AL, US ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation ...

$90K - $115K/yr

Senior Data Analyst Professional Trenton, NJ, US 4 days ago Requisition ID: 1166 Salary Range: $90,000.00 To $115,000.00 Annually Department: Program Management Payroll Type: Salary Reports To:

They will be expected to gather and analyze data from multiple structured and unstructured data ... detection, annotation strategy and dataset creation, and evaluation of extraction quality.

$115K - $128K/yr

Senior Data Analyst Paris, VA, US 21 days ago Requisition ID: 1486 Salary Range: $115,000.00 To $128,000.00 Annually SHR - S oftware H ardware R e-engineered SHR is a premier technology integrator ...

$150K - $170K/yr

We have an immediate need for a Sr. Data Analyst to provide onsite support out of the Pentagon and/or Mark Center in Alexandria, VA. Responsibilities The Sr. Data Analyst will support the newly ...

$63K - $80K/yr

The Position The Senior Data Analyst is an exciting opportunity for a skilled programmer who wants to directly inform policy evelopment and improvement in California. The ideal Data Analyst is an ...

$63K - $80K/yr

About the Company Trust & Will is hiring a remote candidate for Senior Data Analyst. This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Spring ...

$63K - $80K/yr

The Senior Data Analyst will provide support to key projects through data collection, computational support, and data interpretation and reporting, and will ensure data accuracy and consistent ...

$100K - $140K/yr

Senior Data Analyst Location: Nashville, TN or Remote Salary: $100,000 - $140,000 About Healthpilot: Healthpilot is an AI-enabled Medicare brokerage on a mission to help people find the right plan ...

$63K - $80K/yr

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This ...

$63K - $80K/yr

## Senior Data AnalystApplylocations: Remote/Homebasedtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR014343As part of the Data Sciences & Analytics Team, you will work hands-on ...

$63K - $80K/yr

We are seeking a Senior Data Analyst who excels in manual data analysis and possesses knowledge of visualization tools for creating impactful data visualizations and dashboards. If you are passionate ...

$63K - $80K/yr

Data Analysis and Interpretation * Develop a deep understanding of the organization's key initiatives and provide analytical solutions that deliver actionable recommendations to support their success.

$63K - $80K/yr

About the Senior Data Analyst Our organization is in a period of high growth through acquisitions. As a result, our data infrastructure, finance function, and financial processes are also growing in ...

$100K - $120K/yr

Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to decision‑making -- and increasingly, from manual analysis to AI‑augmented insight. This role ...

next page

Showing results 1-20

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 Kentucky?

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

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

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

Infographic showing various Senior Data Annotation Analyst job openings in Kentucky as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems
1 - 5K employees

Other

Posted 17 days ago


Job description

Data Annotation Engineer Location - Louisville, Kentucky (Day 1 onsite) Pay Rate: Market- based on experience We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance. The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement. Lead the day-to-day operation of the AI annotation program. Manage a team of annotators responsible for reviewing customer conversations and AI interactions. Develop annotation guidelines, procedures, and quality standards. Establish calibration programs and quality assurance processes to ensure consistency across reviewers. Partner with Data Scientists to create and maintain gold-standard datasets. Monitor annotation accuracy, throughput, and quality metrics. Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders. Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch. Plan capacity requirements to support seasonal increases in review volume. Support future expansion into multilingual evaluation programs. Identify process improvements that increase efficiency and annotation quality. Bachelor's degree or equivalent experience in Linguistics/Psychology. 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields. Experience leading teams and managing operational workflows. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Experience supporting AI, machine learning, or data annotation programs. Familiarity with Responsible AI, compliance, legal review, or governance processes. Experience developing operational standards and quality frameworks. Experience managing vendor or contractor resources.