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Live In Image Annotation Jobs in Ohio (NOW HIRING)

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

High School Reading Tutor

Akron, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

Retail Sales Associate

Lima, OH · On-site

$14.50 - $16.75/hr

... live in. This is an excellent opportunity for an entrepreneurial, focused, and ambitious sales ... image. * Accurately and efficiently process sales orders, adhering to cash handling protocols. Aid ...

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Live In Image Annotation information

What is a live in image annotation?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are the key skills and qualifications needed to thrive as a live in image annotation specialist?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some of the common challenges faced by live in image annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the most commonly searched types of Image Annotation jobs in Ohio?

The most popular types of Image Annotation jobs in Ohio are:

What are popular job titles related to Live In Image Annotation jobs in Ohio?

For Live In Image Annotation jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Live In Image Annotation jobs?

Cities in Ohio with the most Live In Image Annotation job openings:

Infographic showing various Live In Image Annotation job openings in Ohio as of June 2026, with employment types broken down into 68% Full Time, 18% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Undergraduate Research Assistant - Master 2 Undergrad

Hamilton, OH

Part-time

Posted 8 days ago


Job description

Job Title

Undergraduate Research Assistant - Master 2 Undergrad

Department

Applied Computing and Engineering Technology Department JM

Worker Type

Student (Fixed Term)

Pay Information

For hourly student pay rates, please visit the Student Job Classification page on the Office of Human Resources website. For salaried student positions, contact the department for pay information.

Duration of Appointment

Start ASAP/ Job ends June 2027

Maximum Scheduled Weekly Hours

1

Job Description Summary

Job Title: Undergraduate Research Assistant
Job Level: Student Master Level 2
Area: Advanced Manufacturing, AI, and Extended Reality (XR)
Start Date: As soon as possible
Appointment Period: ASAP through June 2027
Funding: Grant-funded position
Primary Work Location: Miami University Hamilton Campus/Advanced Manufacturing Hub

Job Description

We are seeking motivated and versatile Undergraduate Research Assistants to join a multidisciplinary research team working in advanced manufacturing and workforce development at Miami University's Advanced Manufacturing Workforce and Innovation Hub.

The student will gain hands-on research experience working with advanced manufacturing equipment, robotics, Artificial Intelligence (AI), computer vision, and Extended/Mixed Reality (XR/MR). The position will focus on two primary areas:

1. Testing, Evaluation, and Data Collection

  • Support testing and evaluation of XR/MR, AI, robotics, and advanced manufacturing applications.
  • Assist with laboratory and equipment setup involving CNC machines, milling machines, collaborative robots, pallet trucks, and other manufacturing systems.
  • Support participant testing and human-factors evaluations, including collection of user feedback and performance data.
  • Assist with image annotation and development, cleaning, and validation of computer-vision datasets.
  • Test system functionality, identify and document issues, and support troubleshooting.
  • Assist with system demonstrations, deployment, user training, and validation.

2. Research and Development Support

  • Support development and integration of XR/MR applications for manufacturing safety, operation, maintenance, and workforce training.
  • Assist with computer vision, Generative AI, and Agentic AI development and integration.
  • Support development of immersive work instructions for manufacturing equipment and processes.
  • Assist with programming, robotics, hardware/software integration, and manufacturing equipment as needed.
  • Support preparation of technical documentation, research materials, datasets, and project deliverables.
  • Collaborate with faculty, researchers, students, and industry partners to develop and improve project technologies.

Additional Position Information (if applicable)

Qualifications

Applicants should be undergraduate students in Engineering, Engineering Technology, Robotics, Mechatronics, Computer Science, Information Technology, Manufacturing, Automation, or a related technical field.

The ideal candidate is hands-on, dependable, technically curious, and eager to learn. Experience with programming, robotics, manufacturing, AI, computer vision, XR/MR, data analysis, or industrial automation is beneficial but not required.

This grant-funded position provides an excellent opportunity to gain applied undergraduate research experience while working alongside a talented research team on emerging technologies in advanced manufacturing and workforce development.

The position is expected to begin as soon as possible and continue through June 2027, subject to satisfactory performance and continued grant funding.

Required Application Documents

resume/CV, cover letter

Posting Contact Information

Amy Francko

Additional Information

A criminal background check may be required. All campuses are smoke- and tobacco-free campuses.

This organization participates in E-Verify.


Reasonable Accommodations
Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560. Questions and follow-ups regarding requests should also be directed here.

Miami University Values Statement
Miami University is a scholarly community whose members believe that a liberal education is grounded in qualities of character as well as of intellect. We respect the dignity of other persons, the rights and property of others, and the right of others to hold and express disparate beliefs. We believe in honesty, integrity, and the importance of moral conduct. We defend the freedom of inquiry that is the heart of learning and combine that freedom with the exercise of judgment and the acceptance of personal responsibility.

For more information on Miami University's mission and core values, please visit the Mission and Core Values webpage.


Equal Opportunity/Affirmative Action Statement
Miami University, an Equal Opportunity/Affirmative Action employer, encourages applications from protected veterans and individuals with disabilities. Miami University prohibits harassment, discrimination and retaliation on the basis of age (40 years or older), color, disability, gender identity or expression, genetic information, military status, national origin (ancestry), pregnancy, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices. Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560.

Clery Act
As part of the University's commitment to maintaining a healthy and safe living, learning, and working environment, we encourage you to read Miami University's Annual Security & Fire Safety Report at: http://www.MiamiOH.edu/campus-safety/annual-report/index.html, which contains information about campus safety, crime statistics, and our drug and alcohol abuse and prevention program designed to prevent the unlawful possession, use, and distribution of drugs and alcohol on campus and at university events and activities. This report also contains information on programs and policies designed to prevent and address sexual violence, domestic violence, dating violence, and stalking. Each year, email notification of this website is made to all faculty, staff, and enrolled students. Written notification is also provided to prospective students and employees. Hard copies of the Annual Security & Fire Safety Report may be obtained from the Miami University Police Department at 513-529-2223.


Labor Law Posters for Applicants

Please visit our Labor Law Posters webpage to access all relevant and applicable labor law information.