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Entry Level Data Labeling Jobs in Ohio (NOW HIRING)

Data Protection Sr. Analyst

Cleveland, OH · Hybrid

$84.80K - $100.70K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection Sr. Analyst

Columbus, OH · Hybrid

$84.80K - $100.70K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection Sr. Analyst

Cincinnati, OH · Hybrid

$84.80K - $100.70K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Be Seen First

Job Title: Entry-Level Cable Technician Location : Columbus, OH Pay Rate: $22-25/HR Company Summary ... Cable installation includes: pulling, placement, termination, testing, and labeling. Knowledge of ...

Associate Chemist

Columbus, OH · On-site

$23.50 - $31/hr

Position Summary This is an Advanced Entry-Level Laboratory Support Role. The Associate Chemist ... Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ...

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Entry Level Data Labeling information

What are the key skills and qualifications needed to thrive as an Entry Level Data Labeling Specialist, and why are they important?

To thrive in entry level data labeling, you need attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and sometimes simple image or audio editing tools is beneficial. Strong focus, reliability, and the ability to follow detailed instructions set outstanding candidates apart. These skills ensure labeled data is accurate and consistent, which is critical for training effective machine learning models.

What are some common challenges faced in an entry level data labeling role, and how can they be managed?

Entry level data labeling roles often involve repetitive tasks that require high attention to detail and consistency, which can sometimes lead to fatigue or decreased concentration. To manage these challenges, it's important to take regular breaks, communicate with your team about any ambiguities in the labeling guidelines, and utilize available training materials. Many companies also implement quality checks and provide feedback, which helps maintain accuracy and offers opportunities for skill development. Collaborating with peers and supervisors for clarification can make the workflow smoother and ensure high-quality labeled data.

What is an entry level data labeling job?

An entry level data labeling job involves reviewing and tagging data—such as images, videos, text, or audio—with specific labels or categories to help train machine learning models. Data labelers follow guidelines to accurately annotate data, making it understandable for computers. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. It is often a starting point for those interested in artificial intelligence or data science fields, and may be remote or on-site depending on the company.
What are the most commonly searched types of Data Labeling jobs in Ohio? The most popular types of Data Labeling jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Labeling jobs? Cities in Ohio with the most Entry Level Data Labeling job openings:
Ergon Asphalt and Emulsions - Data Analysts I (2)

Ergon Asphalt and Emulsions - Data Analysts I (2)

Ergon

Heath, OH • On-site, Remote

Full-time

Posted 14 days ago


Ergon Inc. rating

8.0

Company rating: 8.0 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

23rd of 74 rated oil and gas companies


Job description

We are a great company with great pay and great benefits. Ergon, Inc. is a relationship-driven company that values each employee's willingness to learn and contribute to the team. We are family owned with locations throughout the world, but we pride ourselves on maintaining a small-company feel.

Position Summary

The Data Analyst I is responsible for supporting the development, management, and validation of accurate roadway inventory and condition data across all client projects. This entry-level role plays a key part in transforming raw data into structured, reliable information that supports Pavement Condition Index (PCI) calculations, reporting, and final deliverables.

Working under general supervision, the Data Analyst I assists in ensuring data integrity, supporting condition assessments, and contributing to quality assurance processes. This role also supports ongoing improvements to roadway analysis tools.

Key Responsibilities

Data Management & Processing

  • Collect, organize, and process roadway inventory and condition data from multiple sources
  • Validate data accuracy and completeness in alignment with ASTM standards
  • Perform routine data remediation tasks, including identifying inconsistencies, correcting errors, and standardizing datasets
  • Maintain organized and traceable datasets to support downstream analysis and reporting

Analysis & Reporting Support

  • Assist in preparing datasets for PCI calculations and project deliverables
  • Perform basic data analysis to identify trends, anomalies, and data gaps
  • Support the generation of client-ready outputs by ensuring consistency and accuracy of data

AI Data Validation & Support

  • Review roadway distress outputs
  • Validate distress types, severity levels, and quantities against established standards
  • Provide feedback on outputs to support continuous improvement and model refinement
  • Assist in bridging automated data processing with human quality validation

Quality Assurance & Standards Compliance

  • Support QA/QC processes by reviewing datasets for adherence to quality standards
  • Ensure consistency across data systems and project deliverables
  • Participate in maintaining and improving data standards and documentation

Collaboration & Process Improvement

  • Work closely with GIS, QA/QC, and operations teams to ensure seamless data integration
  • Support cross-functional efforts to deliver projects on time and within quality expectations
  • Contribute to workflow efficiencies, process improvements, and scalability initiatives

Qualifications

Education

  • Associate's degree (or in pursuit of) in Data Analytics, Engineering, GIS, Computer Science, Statistics, or a related field (or equivalent experience)

Experience

  • 0–2 years of experience in data analysis, data processing, or a related field
  • Exposure to infrastructure, roadway, or asset management data preferred but not required

Technical Skills

  • Basic proficiency in data analysis tools (e.g., Excel, SQL, or similar)
  • Familiarity with GIS concepts or tools (e.g., ArcGIS, QGIS) is a plus
  • Ability to work with large datasets and perform data validation
  • Exposure to AI/ML concepts or data labeling/validation is beneficial

Core Competencies

  • Strong attention to detail and commitment to data accuracy
  • Analytical thinking and problem-solving skills
  • Ability to follow defined processes and standards
  • Effective communication and teamwork skills
  • Willingness to learn and adapt in a technology-driven environment

Working Conditions

  • Primarily office-based or remote work with extended periods of computer use
  • May require occasional coordination across teams or departments to meet project deadlines

Come join the team!

Must be able to pass a pre-employment drug screen and background check. A clean MVR is required.

We are an EEO/AAP employer.

Job Role: Data Analyst I

Location: Heath, OH


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