ZipRecruiter

Log In

2

Remote Data Annotation Jobs in Ohio (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Ohio

Remote Data Annotation information

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
More about Remote Data Annotation jobs
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 Remote Data Annotation jobs in Ohio? For Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation jobs in Ohio look for? The top searched job categories for Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Annotation jobs? Cities in Ohio with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, and 25% Part Time. Highlights an 40% Hybrid, and 60% Remote job distribution.

Material Science Specialist (Masters/PhDs)

Alignerr

New Bremen, OH • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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

Apply