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Hourly Remote Data Annotation Jobs in Ohio (NOW HIRING)

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Hourly Remote Data Annotation information

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

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

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

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are the most commonly searched types of Remote Data Annotation jobs in Ohio? The most popular types of Remote Data Annotation jobs in Ohio are:
What are popular job titles related to Hourly Remote Data Annotation jobs in Ohio? For Hourly Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Annotation jobs in Ohio look for? The top searched job categories for Hourly Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Hourly Remote Data Annotation jobs? Cities in Ohio with the most Hourly Remote Data Annotation job openings:
Hourly Remote Data Annotation jobs near you
Infographic showing various Hourly Remote Data Annotation job openings in Ohio as of May 2026, with employment types broken down into 67% Full Time, 31% Part Time, and 2% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution.

Material Science Specialist (Masters/PhDs)

Alignerr

New Bremen, OH • Remote

Full-time

Posted 12 days ago

Job description

Material Science Specialist (AI Training) About The Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI understands and reasons about the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to help build and train cutting-edge AI models that tackle real scientific problems. This is a fully remote, flexible contract role designed for domain experts who want to put their academic and research background to meaningful use.

No prior AI experience needed — your scientific knowledge is what matters. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Develop, solve, and review advanced materials science problems with real-world scientific relevance Apply your expertise in semiconductor materials, molecular modeling, or related specializations to craft complex, high-quality problem statements Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning Ensure scientific rigor, clarity, and depth across all deliverables Use Python or MATLAB where relevant to support problem design and validation Who You Are Master's or PhD in Materials Science or a closely related field from a recognized university Deep expertise in semiconductor materials, molecular modeling, or adjacent areas Comfortable coding in Python or MATLAB for research or applied projects Exceptionally clear written communicator — you can explain complex science with precision Detail-oriented and self-motivated when working independently Fluent in English Nice to Have Prior experience with data annotation, data quality evaluation, or AI training workflows Background in applied research, industry R&D, or academic publishing Familiarity with computational materials science tools or simulation frameworks Why Join Us Work on cutting-edge AI projects alongside leading research labs and AI teams Fully remote and flexible — work on your own schedule, from anywhere Freelance autonomy with the structure of meaningful, expert-level work Apply your scientific knowledge in a new and high-impact domain Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr

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