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Day Shift Remote Data Annotation Jobs in Ohio (NOW HIRING)

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Day Shift Remote Data Annotation information

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

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a Day Shift Remote Data Annotation job?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What are the most commonly searched types of Shift Remote Data Annotation jobs in Ohio? The most popular types of Shift Remote Data Annotation jobs in Ohio are:
What are popular job titles related to Day Shift Remote Data Annotation jobs in Ohio? For Day Shift Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Day Shift Remote Data Annotation jobs in Ohio look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Day Shift Remote Data Annotation jobs? Cities in Ohio with the most Day Shift Remote Data Annotation job openings:
Day Shift Remote 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 14 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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