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Senior Data Annotation Analyst Jobs in Kentucky (NOW HIRING)

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 ...

$120 - $180/hr

Senior Data Engineer, Data Strategy and Architecture Full Time Conshohocken, PA 2 days ago ... analytics, reporting, and AI strategy. Working in close partnership with the Director of Data ...

$120 - $180/hr

## Sr Data Scientist IIApplylocations: Raleigh, NC: Virginia: Florida: Toronto: Georgiatime type ... Apply appropriate data structures, algorithms, and computational-complexity analysis when designing ...

$140 - $190/hr

Senior Data Science Consultant Location : Washington, DC Education : M.A./M.S. Degree (Any Field or ... Supports analytical workflow enablement, sustainment, and scaling of data products across an ...

$111 - $222/hr

## Senior Data Scientist - Marketing & Consumer AnalyticsApplyremote type: Hybridlocations: MA ... Track record of analytical work that changed business decisions -- not just answered questions*

$120 - $180/hr

About the role We are hiring a Senior Data Analyst to build the trusted data foundation Chalk uses to understand and operate the business. You will create the models, metrics, and reporting systems ...

New

$90 - $120/hr

Under the direction of the Manager, Hosted Services the Senior Litigation Data Analyst, Hosted Services provides technical support through KLDiscovery's TechQ's in the use of KLDiscovery ...

New

$130 - $190/hr

## Senior Data Operations EngineerApplylocations: Houston, Texas: Findlay, Ohio: San Antonio ... Experience operating mission-critical analytics and data platforms.* Demonstrated success leading ...

$124 - $151/hr

Job Summary The Senior Analytics Analyst -- Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives ...

New

$173 - $203/hr

This role sits within Data Science and works deeply across MX analytics, quality, business systems ... Senior. #J-18808-Ljbffr

New

$140 - $210/hr

This role serves as the senior technical owner of the enterprise data platform supporting Finance, Accounting, Sales, Customer Success, Product, HR and Executive Analytics. The Senior Data Platform ...

$140 - $190/hr

## Senior Data Governance SMEApplylocations: USA - Remotetime type: Full timeposted on: Posted ... Influence and align business, legal, compliance, security, analytics, and technology stakeholders ...

$180 - $240/hr

Sanity is looking for a Senior Data Analyst to deliver high-impact analysis that empowers our Product and Engineering teams to make confident, data-driven decisions every day. In this role, you will ...

$201 - $229/hr

Senior Manager- Data Analysis (Card) At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every ...

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/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 ...

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 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.

Senior Data Scientist (SMTS)

Salesforce, Inc.

Bellevue, KY • On-site

$148.50 - $223.90/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies


Job description

## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue: Virginia - Mclean: California - San Franciscotime type: Full timeposted on: Posted Yesterdayjob requisition id: JR344060*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.****The Team******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 new ways to secure the Salesforce platform. We leverage AI, machine learning, and contemporary data techniques to advance behavior- and signature-based techniques of many forms. We partner with threat, product, and engineering teams to deliver defenses that not only operate at scale, but evolve through agentic-based monitoring, testing, and continuous improvement. We are a growing, highly visible, and highly agile team where experimentation, collaboration, and spirited discussion are the norm.******About You***** **You’re intensely curious about AI and data and are highly adept in analyzing large volumes of data, then teasing out valuable signals therein. You’re able to seamlessly merge rigor in statistics with awareness of their application to business problems.*** **You thrive in researching, experimenting with, applying, and proving out new techniques in AI, data mining, and machine learning.*** **You partner with threat experts to understand evolving threat patterns and their detection. You collaborate effectively with software engineers to champion proven detection techniques, consult in their software implementation, and build and test production software.******Responsibilities:***** **Conduct and document rigorous exploratory data analyses of potential source datasets.*** **Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection*** **Formulate,build, test, and document proofs-of-concept for new techniques in threat detection.*** **Drive or assist in engineering scalable, production-ready software for proven techniques.*** **Champion, build, and maintain AI-driven capabilities for all of the above.*** **Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements.*** **Champion and build AI-driven capabilities for all of the above.******Required Experience Skills:***** **At least four (4) years experience in a related field; OR** + **At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field*** **Strong fundamentals in applied statistics and probability*** **Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.1*** **At least two (2) years of experience in selecting and applying machine-learning techniques; OR at least two (2) years of experience mining datasets over 1 TB in volume.1*** **Strong programming skills in Java, Python, or Scala*** **Excellent communication skills*** **Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.******Preferred Skills:***** **Strong understanding of security, including threat propagation and signal correlation.*** **Experience in applying AI and big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation.*** **Related experience in genomics, high-speed trading, or other domains involving pattern recognition or behavior-based analysis**Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr

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