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Ai Data Annotation Remote Jobs in Wisconsin (NOW HIRING)

... Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau, ...

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Ai Data Annotation Remote information

What is an AI Data Annotation Remote job?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

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

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What are the most commonly searched types of Ai Data Annotation jobs in Wisconsin? The most popular types of Ai Data Annotation jobs in Wisconsin are:
What are popular job titles related to Ai Data Annotation Remote jobs in Wisconsin? For Ai Data Annotation Remote jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ai Data Annotation Remote jobs in Wisconsin look for? The top searched job categories for Ai Data Annotation Remote jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Data Annotation Remote jobs? Cities in Wisconsin with the most Ai Data Annotation Remote job openings:
Infographic showing various Ai Data Annotation Remote job openings in Wisconsin as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution.

Platform Engineer (AI / Data Platform)

Qualysoft

Remote

Contractor

Posted 17 days ago


Job description

Fur ein anspruchsvolles KI- und Datenplattform-Projekt im Enterprise-Umfeld wird ein erfahrener Platform Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen, skalierbaren On-Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

Rahmenbedingungen
Start: ASAP
Laufzeit: Ende 2026, Verlangerung moglich
Auslastung: 100 %
Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache

400 - 450 a day
Aufgaben
Aufbau, Konfiguration und Betrieb von On-Premise Kubernetes-Clustern, idealerweise mit OpenShift & OpenShift AI (RedHat, UBI)
Design und Umsetzung von Plattform-Architekturen fur Streaming- und Batch-Workloads
Einfuhrung und Betrieb des Tooling-Stacks:
Quay, Artifactory
Tekton, Jenkins
CI/CD- und GitOps-Prinzipien
Containerisierung von Plattform- und Applikationskomponenten
Implementierung von Monitoring- und Logging-Losungen (Grafana, Prometheus, Loki)
Umsetzung von Security- und Schwachstellenmanagement (Container, Python, IDEs)
Unterstutzung und Enablement von Data-Science- und Entwicklungsteams
Mitwirkung bei KI-Projekten (Plattformbereitstellung, Betrieb, Stabilisierung)
Berucksichtigung von Enterprise-, Kunden- und Compliance-Vorgaben (z. B. Policies, AI Act)

Anforderungen
Mehrjahrige Erfahrung als Platform Engineer, DevOps Engineer oder vergleichbare Rolle
Sehr gute Kenntnisse in Kubernetes / OpenShift, idealerweise OpenShift AI
Erfahrung mit CI/CD, GitOps und Container-Technologien
Architektur-Know-how fur skalierbare Data- und KI-Plattformen
Sehr gute Deutsch und Englischkenntnisse
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung. Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne uber Freelancermap per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!

 +43 699 14402417
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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