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Data Annotation Tech Remote Jobs in Ohio (NOW HIRING)

Willingness and ability to learn new technologies on the job * Demonstrated ability to communicate ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

Stay informed on emerging data technologies and trends, sharing insights to help identify ... If fully remote: must be willing to travel * This position will require the ability to work ...

Data Engineer Lead-2

Columbus, OH ยท On-site +1

$107K - $129K/yr

Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... to learn new technologies on the job Demonstrated ability to communicate complex results to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Willingness and ability to learn new technologies on the job * Demonstrated ability to communicate ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Principal Data Scientist

Cincinnati, OH ยท On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Stay abreast of industry trends and emerging technologies in MLand payment optimization ...

Showing results 41-60

Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Ohio? For Data Annotation Tech Remote jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Annotation Tech Remote jobs? Cities in Ohio with the most Data Annotation Tech Remote job openings:
Infographic showing various Data Annotation Tech Remote job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Specialist, Data Solution Analyst - NF IIR

Nationwide

Columbus, OH โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

If you're passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide's Technology team could be the place for you! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

We are looking for a motivated Specialist, Data Analyst who is passionate about turning data into clear, actionable insights that improve business decisions and create value. In this role, the individual will help translate business needs into practical data solutions, strengthen data quality and reporting, and partner across teams to deliver secure, reliable, and efficient outcomes. The ideal candidate is energized by solving problems, working collaboratively, and using modern analytics and AI-enabled capabilities to help Nationwide continue building a future-forward, data-enabled culture.

Skills and Capabilities

Technical / Functional Skills

  • Strong data analysis, profiling, and data wrangling skills, with the ability to turn raw data into useful business insight.
  • Intermediate or stronger SQL skills, including writing custom queries to analyze and validate data.
  • Experience with reporting, dashboarding, and data visualization tools such as Power BI, Tableau, or similar platforms.
  • Ability to gather, clarify, and translate business and analytic requirements into practical data solutions.
  • Understanding of data modeling, data mapping, and the flow of data across processes and interfaces.
  • Experience supporting self-service analytics and helping business partners use data more effectively.
  • Working knowledge of secure software and systems engineering practices as they apply to data and analytics solutions.
  • Familiarity with approved analytics, reporting, and emerging AI-enabled tools that improve insight generation and operational efficiency.

Non-Technical / Professional Skills

  • Strong problem-solving and critical-thinking skills, with the ability to identify root causes, evaluate options, and recommend practical solutions.
  • Effective oral and written communication skills, including the ability to explain data findings to both technical and non-technical audiences.
  • Strong collaboration skills and a team-first mindset, with the ability to build relationships and work cross-functionally with stakeholders, product teams, and technology partners.
  • Curiosity and adaptability, with a desire to learn new tools, technologies, and better ways of working.
  • Ability to influence, facilitate discussions, and manage priorities in a fast-moving environment.
  • Attention to detail and commitment to high-quality, accurate work products.
  • Business acumen and the ability to connect data work to business outcomes and decision-making.
  • Responsible and practical use of AI to improve analysis, accelerate insight generation, and identify innovation opportunities while maintaining quality, security, and sound judgment.

This position will be hired on a SuccessFlex basis.

The hired associate must reside within 35 miles of the following location:

Columbus: One Nationwide Plaza, Columbus OH, 43215

Work schedule: (Monday and Tuesday) 2 days in office, 3 days remote.

This role does not qualify for employer sponsored work authorization. Nationwide does notparticipatein the STEM OPT extension program.

#LI-AM1

Job Description Summary

Nationwide's industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.
As a Data Solution Analyst, you'll translate functional data and analytic requirements into solutions for consumption and use by the respective business or technology request or leveraging a variety of approved technologies. The technologies include (but are not limited to) Paxata, Tableau, Micro strategy, Business Objects, R, or other reporting and visualization solutions being considered for operationalization. You'll also have the opportunity to guide others to leverage self-service techniques for business reporting and analytics.

Job Description

Key Responsibilities:

  • Elicits reporting and analytic requirements from business and technology requestors to generate visualization or analysis.

  • Supports implementation of data requirements and practices for an assigned area.

  • Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.

  • Under supervision creates and executes standard visualization techniques.

  • Uses visualization and analysis techniques to present findings of data exploration exercises to stakeholders based on requirements gleaned.

  • Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.

  • Collaborates with others to implement standardized data reporting, analytics, and visualization tools.

  • Works on profiling, mapping, and modeling tools.

  • With guidance may partner with others on projects requiring data visualization.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director Data Leader.

Typical Skills and Experiences:

Education: Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.

License/Certification/Designation: Certifications are not required but encouraged.

Experience: Two to five years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools, reporting and self-service analytic techniques. Experience in application of data acquisition and data wrangling. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills: Data application and practices knowledge. Good oral and written communication skills.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and HR Business Partner.

Values: Regularly and consistently demonstrates the Nationwide Values.

Job Conditions:

Overtime Eligibility: Exempt (Not Eligible)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage,paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.


NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.The national salary range for Specialist, Data Solution Analyst : $95,500.00-$177,500.00The expected starting salary range for Specialist, Data Solution Analyst : $95,500.00 - $143,500.00