ZipRecruiter

Log In

2

Full Time Machine Learning Data Annotation Jobs in Cincinnati, OH

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning ...

Bespoke Labs

Machine Learning Engineer

Covington, KY · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Bespoke Labs

Machine Learning Engineer

Covington, KY

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/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 ...

TQL

Data Scientist

Cincinnati, OH · On-site

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning solutions that directly support business decision-making. You'll own projects end-to-end--from problem ...

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

Total Quality Logistics is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decision-making. The role involves owning ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including ... Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including ... Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental ...

next page

Showing results 1-20

All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Cincinnati, OH

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 11, 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:

Full Time Machine Learning Data Annotation jobs near you
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.

Director, Machine Learning-Artificial Intelligence

Erlanger, KY • On-site

Archer Daniels Midland
Manufacturing • 1 - 5K employees
Learn more about Archer Daniels Midlandexternal

Full-time

Posted 22 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

What ADM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply