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Home Based Data Annotation Jobs in Ohio (NOW HIRING)

Medpace, Inc.

Part-Time Data Assistant

Cincinnati, OH · On-site

$16 - $21.25/hr

... based Data Assistant to join our Data Management team in the Medpace Reference Lab. This position ... Hybrid work-from-home options (dependent upon position and level) * Competitive PTO packages ...

Medpace, Inc.

Part-Time Data Assistant

Cincinnati, OH

$16 - $21.25/hr

Job Summary Our laboratory activities are growing rapidly, and we are currently seeking an office-based Data Assistant to join our Data Management team in the Medpace Reference Lab. This position ...

Frch Nelson

Data Engineer

Cincinnati, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Flexible working schedules and work from home options based on client's needs * Professional ...

Frch Nelson

Data Engineer

Cleveland, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Flexible working schedules and work from home options based on client's needs * Professional ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · On-site

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · Remote

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · On-site

... homes and specialty dwellings - and the recreational market, including boats, personal watercraft ... Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or ...

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All JobsHome Based Data Annotation JobsHome Based Data Annotation Jobs in Ohio

Home Based Data Annotation information

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

What are the most commonly searched types of Data Annotation jobs in Ohio? The most popular types of Data Annotation jobs in Ohio are:
What are popular job titles related to Home Based Data Annotation jobs in Ohio? For Home Based Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Home Based Data Annotation jobs in Ohio look for? The top searched job categories for Home Based Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Home Based Data Annotation jobs? Cities in Ohio with the most Home Based Data Annotation job openings:
Home Based Data Annotation jobs near you

Data Annotator for AI Models - English (United States)

RWS TrainAI

Columbus, OH • On-site, Remote

$53 - $68.50/hr

Full-time

Posted 13 days ago

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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