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Full Time Machine Learning Data Annotation Jobs in Cincinnati, OH

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

Data Scientist

Cincinnati, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making. * Develop scalable tools that translate data into action for client leaders and operators.

Sr. Data Scientist - AI/ML

Cincinnati, OH · On-site

$110K - $165K/yr

Cutting-edge Operations Research (optimization, simulation) * State-of-the-art machine learning ... Job Schedule Full time Job Number R000147966 Job Segmentation Experienced Professionals Starting ...

[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 ...

[US] Data Analytics Associate

Mason, OH · On-site

$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 ...

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 ...

Lead Data Scientist (P3764)

Cincinnati, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ... For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00 ...

Data Scientist

Amelia, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 Scientist

Cincinnati, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 Scientist

Amelia, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Lead AI and Data Science Engineer II

Cincinnati, OH · On-site

$98K - $129K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

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 ...

Data Scientist

Cincinnati, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 +1

$109K - $132K/yr

  • Medical

  • Retirement

  • PTO

Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and * Develop scalable and ...

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 Aug 18, 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.

Finance Analytics & AI Senior Consultant

Deloitte

Cincinnati, OH • On-site

$111K/yr

Full-time

Re-posted 6 hours ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  • Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
  • Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
  • Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  • Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
  • Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
  • Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
  • Experience deploying machine learning or generative and agentic AI solutions into production environments
  • Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
  • Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
  • Experience with Tableau or Microsoft Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  • Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
  • Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
  • Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  • Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
  • Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
  • Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
  • Experience deploying machine learning or generative and agentic AI solutions into production environments
  • Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
  • Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
  • Experience with Tableau or Microsoft Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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