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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

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

TQL

Data Scientist

Cincinnati, OH

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 ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Proficient in programming languages such as Python and familiar with data science/machine learning ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

Responsibilities : • Build scalable, data-driven tools and analytics solutions that address real client challenges. • Apply optimization, forecasting, machine learning, and predictive analytics ...

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 ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

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.

Omya

Data Scientist Fall Co-Op 2026

Cincinnati, OH · On-site

... machine learning models. • Create dashboards and visualizations to communicate findings. • Collaborate with stakeholders to understand business needs and translate them into data solutions. • ...

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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 Jul 26, 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 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 are Full Time Machine Learning Data Annotation jobs?

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 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.

DATA ENGINEER IV

Hudson Manpower

Cincinnati, OH • On-site

$68 - $70/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 hours ago

Job description

Job Title: Data Engineer IV
Location: Cincinnati, OH - onsite
Payrate $70/hr on W2.
USC and GC Holder candidates only.
TOP SKILLS:
Must Have
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake
What You'll Do
Squad: 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 Data Enablement team at Fifth Third Bank. This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
We're looking for an early-career professional who's excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and deployment - and have a strong interest in enabling ML workflows through robust data infrastructure.
You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to help you learn.
This is a hands-on role with high visibility and high impact. You'll be joining a team at the ground level, helping to define how data powers machine learning at scale.
What You'll Get
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You'll be eligible to earn referral bonuses!
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake

Apply