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Datasets Jobs in Ohio (NOW HIRING)

NEURA Robotics

$70 - $90/hr

Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient ...

SM Global IT LLC

Data Scientist

Columbus, OH · On-site

Summary: * Seeking a Data Scientist to analyze complex datasets, develop statistical and machine learning models, and provide data-driven insights to support organizational decision-making.

New

SIERTEK

Operations Research Technical Reviewer

Dayton, OH

$91K - $108K/yr

Develop, modify, and analyze datasets using SAS Enterprise Guide (SAS EG). * Apply statistical methodologies to evaluate relationships between medical conditions, accession standards, and operational ...

Flexton Inc.

Sr Data Analyst - PowerBI

Blue Ash, OH · On-site

$79K - $99K/yr

The Data Analyst will be responsible for the collection, analysis, and interpretation of large datasets to uncover trends, identify opportunities, and support performance improvement initiatives.

Syntricate Technologies

Snowflake Lead

Cleveland, OH · On-site

$99K - $130K/yr

The role involves managing containers and dockers, handling large datasets, and collaborating with cross-functional teams to design and optimize data pipelines. Responsibilities : • Proficient in ...

Flexjet

Operations Intelligence Specialist

Cleveland, OH · On-site

$91K - $114K/yr

Analyze large datasets to identify trends, patterns, and insights that drive operational decisions. * Create, maintain, and present reports/dashboards that communicate key performance indicators and ...

Flexjet

Operations Intelligence Specialist

Cleveland, OH · On-site

$91K - $114K/yr

Analyze large datasets to identify trends, patterns, and insights that drive operational decisions. * Create, maintain, and present reports/dashboards that communicate key performance indicators and ...

Flexjet

Operations Intelligence Specialist

Cleveland, OH

$91K - $115K/yr

Analyze large datasets to identify trends, patterns, and insights that drive operational decisions. * Create, maintain, and present reports/dashboards that communicate key performance indicators and ...

SIERTEK

Epidemiologist*

Dayton, OH · On-site

This position analyzes complex health, personnel, operational, and deployment-related datasets to identify trends, evaluate programs, and provide evidence-based recommendations that support Air Force ...

SIERTEK

Database Developer*

Dayton, OH · On-site +1

Develop and maintain secure, high-quality analytical datasets that support epidemiologic research and operational analyses. * Identify required DHA databases and coordinate with DHA Information ...

SierTeK Ltd.

Epidemiologist*

Dayton, OH · On-site

This position analyzes complex health, personnel, operational, and deployment-related datasets to identify trends, evaluate programs, and provide evidence-based recommendations that support Air Force ...

SIERTEK LTD

Epidemiologist* (26.23)

Dayton, OH · On-site

This position analyzes complex health, personnel, operational, and deployment-related datasets to identify trends, evaluate programs, and provide evidence-based recommendations that support Air Force ...

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All JobsDatasets JobsDatasets Jobs in Ohio

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

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For Datasets jobs in Ohio, the most frequently searched job titles are:

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Datasets jobs near you
Infographic showing various Datasets job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution.

AI Data Annotation Specialist (human)

NEURA Robotics

On-site

$70 - $90/hr

Other

Posted 16 days ago

Job description

Your mission & challenges

As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.

You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets.

  • Design, build, and maintain pipelines for automated and semi-automated data annotation
  • Ingest and integrate data from multimodal sources into structured data workflows
  • Apply pre-labeling techniques using existing models to accelerate annotation processes
  • Validate and ensure the quality, consistency, and completeness of annotated datasets
  • Identify and resolve data quality issues, inconsistencies, and biases
  • Transform and standardize datasets into model-ready formats
  • Collaborate closely with ML Engineers to optimize datasets for training and evaluation
What we can look forward to
  • Degree in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in machine learning operations, AI, or software engineering
  • Strong programming skills in Python and C++
  • Solid understanding of AI / machine learning fundamentals and data requirements
  • Experience with data annotation tools or labeling workflows
  • Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
  • Strong attention to detail and a quality-driven mindset
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
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