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Ai Data Labeling 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, ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI ... Sitting within IT and partnering closely with business, data, and technology leaders, this role ...

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Ai Data Labeling Remote information

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

What are the most commonly searched types of Ai Data Labeling jobs in Wisconsin?

The most popular types of Ai Data Labeling jobs in Wisconsin are:

What are popular job titles related to Ai Data Labeling Remote jobs in Wisconsin?

For Ai Data Labeling Remote jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Data Labeling Remote jobs in Wisconsin look for?

The top searched job categories for Ai Data Labeling Remote jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Data Labeling Remote jobs?

Cities in Wisconsin with the most Ai Data Labeling Remote job openings:

AI Data Specialist - Wisconsin (US)

RWS TrainAI

Milwaukee, WI โ€ข On-site, Remote

Temporary

Re-posted 7 days ago


Job description

We are looking for AI Data Specialists to support the improvement of AI-generated content in English.
Job Type: Freelance
Location: Wisconsin, work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work when available
Start Date: Immediately
Duration: TBC
Rate: 15 USD/hour
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models?
What You'll Do
The role involves performing diverse data-related tasks, including:
- Data collection, evaluation, and annotation.
- Pairwise comparisons.
- Counting tasks.
- Object tagging and labeling across different content types (audio, video, images, or collected data)
What we're looking for:
- English Proficiency: Fluent or advanced proficiency in English (levels B2-C2)
- AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
What We Offer
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay-at-home parents
#LI-PR15
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren't sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.