AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · Remote
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
AI/ML Data Contributor
Milwaukee, WI · Remote
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · Remote
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
AI/ML Data Contributor
Milwaukee, WI · Remote
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
Quick apply
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
AI/ML Data Contributor
Milwaukee, WI · On-site
Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications. A key project is the Advancing ...
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Research Scientist I
Milwaukee, WI · On-site
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
Mature the practices that scale vision work across the portfolio: dataset strategy, annotation ... Experience with synthetic data generation or simulation-based training, including digital twin ...
Mature the practices that scale vision work across the portfolio: dataset strategy, annotation ... Experience with synthetic data generation or simulation-based training, including digital twin ...
Mature the practices that scale vision work across the portfolio: dataset strategy, annotation ... Experience with synthetic data generation or simulation-based training, including digital twin ...
Mature the practices that scale vision work across the portfolio: dataset strategy, annotation ... Experience with synthetic data generation or simulation-based training, including digital twin ...
Data Annotation information
What is a data annotation?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
What does a data annotation do?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
What are the key skills and qualifications needed to thrive in data annotation?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
How much money can I make doing data annotation?
Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.
What cities near Jackson, WI are hiring for Data Annotation jobs?
Cities near Jackson, WI with the most Data Annotation job openings:
AI/ML Data Contributor
Milwaukee, WI • On-site
Full-time
Re-posted 19 days ago
Job description
Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.
Responsibilities
- Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
- Participate in remote assignments or attend on-site sessions when required
- Follow project guidelines and ensure high-quality task completion
- Provide feedback and input during testing activities
- Complete tasks within given timelines
Requirements
- Must be based in the United States
- Strong attention to detail and ability to follow instructions
- Basic computer skills and familiarity with digital tools
- Reliable internet connection and access to a computer or smartphone
- Availability to participate in task-based work (schedule may vary)
Nice to Have
- Previous experience in data annotation, QA, or testing
- Interest in AI, machine learning, or emerging technologies
What We Offer
- Paid, flexible task-based work
- Opportunity to work on innovative AI/ML projects
- Exposure to cutting-edge technologies (including device and VR testing)
- Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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