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Full Time Machine Learning Data Annotation Jobs in Cincinnati, OH

Proficient in programming languages such as Python and familiar with data science/machine learning ... Job Schedule Full time Job Number R000158052 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Design and implement causal inference and causal machine learning solutions. * Measure the impact ... Panel Data Models * CATE Estimation * Uplift Modeling * Heterogeneous Treatment Effect Modeling

AI and Data Science Engineer II

Cincinnati, OH · On-site

$109K - $131K/yr

Translating business goals into machine learning use cases and model design approaches. * Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and ...

Support data annotation and quality validation activities * Maintain accurate operational records ... Opportunity to contribute to the future of intelligent machines We may use artificial intelligence ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

Specialized Analytics Senior Analyst

Florence, KY · On-site

$85K - $107K/yr

Master's Degree or PhD preferred. 3+ years in data science, machine learning, or advanced analytics ... San Antonio Texas United States ----- Primary Location Full Time Salary Range: $96,960.00 - $145 ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... TCS AI and Data business platforms. • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well ...

AI Engineer

Cincinnati, OH · On-site

$55K - $187K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Lead Data Scientist - Relevancy Sciences Relevancy Sciences Team is responsible for powering ... This role is ideal for someone who combines depth in applied machine learning with strong systems ...

Sr. Data Scientist

Cincinnati, OH · On-site +1

$143K - $210K/yr

Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

Showing results 21-40

Full Time Machine Learning Data Annotation information

See Cincinnati, OH salary details

$36K

$117.8K

$188.5K

How much do full time machine learning data annotation jobs pay per year?

As of Sep 14, 2026, the average yearly pay for full time machine learning data annotation in Cincinnati, OH is $117,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Cincinnati, OH?

For Full Time Machine Learning Data Annotation jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Cincinnati, OH look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Cincinnati, OH are:

Infographic showing various Full Time Machine Learning Data Annotation job openings in Cincinnati, OH as of July 2026, with employment types broken down into 21% Full Time, 5% Part Time, 1% Temporary, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $117,765 per year, or $56.6 per hour.

Data Scientist

Cincinnati, OH • On-site

Proctor & Gamble
Health and Personal Care Stores • 10K+ employees

Full-time

Re-posted 6 days ago


Procter & Gamble rating

8.1

Company rating: 8.1 out of 10

Based on 166 frontline employees who took The Breakroom Quiz


Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education:Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills:Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to develop and test code within cloud environments.
  • Communication:Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies:Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning:A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud:Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure.
  • DevOps Familiarity:Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed.

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Job Schedule

Full time

Job Number

R000158052

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837