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Data Label Jobs in Ohio (NOW HIRING)

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Data Protection Consultant

Cleveland, OH · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

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Help with fiber terminations, testing, labeling, bonding, and telecommunication room build-outs ... Comfortable moving between data center sites across the Dallas / Fort Worth * Metroplex when needed.

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Data Label information

What is the difference between Data Label vs Data Annotator?

AspectData LabelData Annotator
Primary RoleAssigns labels to data for machine learning modelsPerforms detailed annotation of data, including labeling and marking specific features
Skills & CertificationsBasic understanding of data types, labeling toolsMore detailed annotation skills, familiarity with annotation tools
Work EnvironmentData labeling platforms, remote or on-siteAnnotation tools, often similar to labeling platforms
Industry UsageUsed across AI, machine learning, and data science projectsUsed in similar fields, often with more complex annotation tasks

Data Label and Data Annotator roles are closely related, with Data Labeling focusing on assigning simple labels to data, while Data Annotators perform more detailed and complex annotations. Both roles are essential in preparing data for AI and machine learning, often using similar tools and working within the same industry environments.

What are some common challenges faced by Data Labelers, and how can they be addressed?

Data Labelers often face challenges such as handling large volumes of repetitive data, maintaining high accuracy under tight deadlines, and quickly adapting to changing labeling guidelines. To address these challenges, it's important to develop strong attention to detail, use quality control processes like regular peer reviews, and communicate proactively with team leads if guidelines are unclear. Additionally, many teams use specialized annotation tools to streamline workflows and minimize errors, making it helpful to become familiar with these platforms.

What are the key skills and qualifications needed to thrive as a Data Labeler, and why are they important?

To thrive as a Data Labeler, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Experience with labeling platforms, annotation tools, and sometimes knowledge of data management systems is typically required. Reliability, consistency, and the ability to follow precise instructions are the soft skills that set top performers apart. These skills ensure accurate and high-quality data labeling, which is critical for training effective machine learning models.

What are data labelers?

Data labelers are professionals who annotate or tag data—such as images, text, or audio—to provide context and structure for use in machine learning and artificial intelligence projects. Their work involves identifying and labeling key features in raw data so that algorithms can learn to recognize patterns and make predictions. Data labeling is a crucial step in training supervised learning models, ensuring the accuracy and effectiveness of AI systems.
What are popular job titles related to Data Label jobs in Ohio? For Data Label jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Label jobs? Cities in Ohio with the most Data Label job openings:
Infographic showing various Data Label job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 46% Full Time, 14% Part Time, 5% Temporary, 31% Contract, and 3% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Production Data Entry Clerk

Production Data Entry Clerk

Surge Staffing

Millersburg, OH • On-site

$15/hr

Full-time

Posted 20 days ago


Job description

Job Summary

We are looking for a Production Data Entry Clerk to support daily production and inventory activities in a manufacturing environment. This position is responsible for entering production information, tracking inventory, maintaining records, and assisting with packaging documentation.

Responsibilities
  • Enter daily production information into company systems
  • Verify production numbers and work orders
  • Maintain production and packaging records
  • Assist with labeling and documentation of products
  • Process inventory transactions and updates
  • Help with inventory counts and cycle counts
  • Investigate and report inventory discrepancies
  • Follow safety procedures and company policies
  • Complete other duties as assigned
Qualifications
  • Previous data entry, inventory, warehouse, or manufacturing experience preferred
  • Basic computer skills required
  • Basic math skills required
  • Strong attention to detail
  • Ability to read, write, and communicate in English
  • Ability to work in a manufacturing environment
Benefits
  • Full-time opportunity
  • Weekly pay
  • Stable work environment
  • Growth opportunities

EQUAL OPPORTUNITY EMPLOYER: Surge is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, genetic information, or any other status protected by law. Surge is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

IND2

Employment Type: FULL_TIME