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Remote Data Labeling Analyst Jobs in Columbus, OH

General Motors

Senior AI/ML Engineer

Columbus, OH · On-site +1

$97.60K - $134.10K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

WPS Health Solutions

Data Analyst

Columbus, OH · On-site +1

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

SynergisticIT

Data Analyst (Remote)

Columbus, OH · On-site +1

SynergisticIT Job Opportunity SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for ...

Cardinal Health

Data Analyst

Columbus, OH · Remote

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

Cardinal Health

Data Analyst

Dublin, OH · Remote

Works with complex datasets to perform exploratory data analysis to provide insights to make ... REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private ...

Cardinal Health

Data Analyst

Dublin, OH · Remote

What Data Analytics contributes to Cardinal Health The Data & Analytics Function oversees the ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

Cayuse Holdings

Data Analyst

Columbus, OH · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

Accenture

Data Protection Sr. Analyst

Columbus, OH · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Basic understanding of data classification/labeling, DLP policies and rules, and regulatory ...

NetJets

Cybersecurity Engineer (NJUS)

Columbus, OH · On-site

... data analysis, integrations, and reporting. • Build, automate, and integrate data security controls, including data discovery, data classification, data labeling, encryption, and secure handling of ...

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

This position may be remote and requires approximately 20% travel to the Indianapolis, IN area. The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

This position may be remote and requires approximately 20% travel to the Indianapolis, IN area. The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within ...

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Remote Data Labeling Analyst information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do remote data labeling analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data labeling analyst in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

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

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Columbus, OH? For Remote Data Labeling Analyst jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Columbus, OH look for? The top searched job categories for Remote Data Labeling Analyst jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data Labeling Analyst jobs? Cities near Columbus, OH with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you

Ergon Asphalt and Emulsions - Data Analysts I (2)

Ergon Asphalt and Emulsions, Inc

Heath, OH • On-site

Full-time

Posted 13 days ago

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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