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Seasonal Remote Data Annotation Jobs in Ohio (NOW HIRING)

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Hocking College

Call Center Analyst

Lancaster, OH · Remote

$50K/yr

Identify call volume patterns, peak times, and seasonal trends to support workforce management and ... Ensure compliance with company policies and data security standards. * Analyze customer interaction ...

Hocking College

Call Center Analyst

Grove City, OH · Remote

$50K/yr

Identify call volume patterns, peak times, and seasonal trends to support workforce management and ... Ensure compliance with company policies and data security standards. * Analyze customer interaction ...

Designer Brands

Assistant Buyer-HYBRID

Columbus, OH · On-site +1

$19.25 - $25.50/hr

The Opportunity This role is where data, product, and customer insight come together. As an ... Partner with the buying team to understand annual and seasonal financial planning. * With guidance ...

All JobsSeasonal Remote Data Annotation JobsSeasonal Remote Data Annotation Jobs in Ohio

Seasonal Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a Seasonal Remote Data Annotation Specialist, and why are they important?

To thrive as a Seasonal Remote Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow complex guidelines, typically supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes specialized software like image or text tagging systems is often required. Excellent time management, self-motivation, and clear written communication are critical soft skills for remote work success. These abilities ensure high-quality, accurate data output that supports machine learning projects and meets project deadlines.

What are some common challenges faced in a seasonal remote data annotation role, and how can they be managed?

Seasonal remote data annotation roles often require adapting quickly to fluctuating workloads and new annotation guidelines as projects change. Job seekers may find it challenging to maintain consistent accuracy and productivity while working independently from home, especially when handling repetitive tasks. To manage these challenges, it's helpful to establish a structured daily routine, stay updated on project instructions, and actively communicate with team leads or fellow annotators for clarification. Additionally, utilizing project management tools and regularly reviewing feedback can help maintain high-quality output throughout the season.

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

AspectSeasonal Remote Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote, project-based, seasonalRemote or on-site, ongoing or project-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Search IntentSeasonal remote data annotation jobsData labeling jobs

Seasonal Remote Data Annotation involves short-term, project-based tasks focused on annotating data for AI models, often during peak seasons. Data Labeling Specialists may work year-round, providing ongoing data annotation services. While both roles require similar skills and tools, Seasonal Remote Data Annotation is typically temporary and tied to specific projects, whereas Data Labeling Specialists may have more continuous responsibilities.

What are seasonal remote data annotation jobs?

Seasonal remote data annotation jobs involve labeling and categorizing data—such as images, text, or audio—from home during busy periods when companies need extra help. These positions are typically temporary and align with peak business seasons or special projects. Data annotation is essential for training artificial intelligence and machine learning models to accurately interpret information. Working remotely in this role allows for flexible hours and the ability to contribute from anywhere with a reliable internet connection.
What are the most commonly searched types of Seasonal Data Annotation jobs in Ohio? The most popular types of Seasonal Data Annotation jobs in Ohio are:
What are popular job titles related to Seasonal Remote Data Annotation jobs in Ohio? For Seasonal Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Seasonal Remote Data Annotation jobs in Ohio look for? The top searched job categories for Seasonal Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Seasonal Remote Data Annotation jobs? Cities in Ohio with the most Seasonal Remote Data Annotation job openings:
Seasonal Remote Data Annotation jobs near you
Infographic showing various Seasonal Remote Data Annotation job openings in Ohio as of June 2026, with employment types broken down into 34% Part Time, and 66% Contract. Highlights an 100% Remote job distribution.

Data Annotator for AI Models - English (United States)

RWS TrainAI

Columbus, OH • On-site, Remote

$53 - $68.50/hr

Full-time

Posted 17 days ago

Key responsibilities

  • Annotate data accurately and consistently according to predefined guidelines in the required language.

  • Perform basic research as needed to ensure accurate annotation.

  • Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.

Job description

Location: Remote working in the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI
Work Schedule: Full time, 8 AM to 5 PM PST time (Monday to Friday) 
Experience: previous experience in data annotation or content review is a plus
Education: Bachelor's degree (or equivalent experience) required
Contract duration: End of September, 2026
 
Does this sound like you?
Are you looking for remote, work-from-home jobs where you can set your own schedule? Are you interested in helping to improve the reliability of today's AI models? If yes, then this opportunity is for you!
 
What we are looking for!
RWS Group is looking for US-based  Data Annotators to annotate, evaluate and curate text, video and geographic data. This information will be used to train and improve generative AI and machine learning models. 
 
Responsibilities:
- Annotate data accurately and consistently according to predefined guidelines in the required language.
- Perform basic research as needed to ensure accurate annotation.
- Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.
- Maintain high attention to detail and quality throughout the annotation process.
- Continuous learning and adaptability; willingness to provide feedback and ask questions.
(Training will be provided post-hire).
 
Work benefits:
- Work from home, full time
- Work-life balance - maintain your lifestyle while you work
- Timely payments made directly to your bank account
- Equipment will be provided
  
Job Requirements
- Excellent comprehension and written communication skills in English. Additional language knowledge is a plus.
- Located in any of the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI.
- Ability to work full time, from 8 AM to 5 PM PST time (Monday to Friday), no exceptions. 
- Bachelor's degree or equivalent work experience required.
- Familiarity with Excel or Google Sheets, including basic formulas.
- Good general communication skills.
- Detail-oriented with the ability to understand and follow instructions.
- Ability to meet deadlines.
- Responsible, reliable, and communicative.
 
Preferred Qualifications:
- Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.
- A broad range of interests with specific areas of expertise is a plus.
- Experience in a professional work environment.
- Previous experience with data annotation tasks.
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