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Remote Annotation Jobs in Milwaukee, WI (NOW HIRING)

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 ...

Remote * Commitment : 10-40 hours/week What You'll Do * Review and evaluate AI-generated medical ... Experience with data annotation, content evaluation, or AI model review workflows * Familiarity ...

This is a fully remote, flexible contract role. No AI background required - just deep oncology ... Experience with data annotation, data quality review, or evaluation systems * Background in ...

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Remote Annotation information

See Milwaukee, WI salary details

$15

$27

$37

How much do remote annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote annotation in Milwaukee, WI is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $32.69 per hour, depending on experience, location, and employer.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

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

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.
What job categories do people searching Remote Annotation jobs in Milwaukee, WI look for? The top searched job categories for Remote Annotation jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Annotation jobs? Cities near Milwaukee, WI with the most Remote Annotation job openings:
Finance AI Trainer - Remote, Flexible Hours

Finance AI Trainer - Remote, Flexible Hours

Data Annotation

Muskego, WI โ€ข Remote

$50 - $60/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Annotation is seeking experienced finance professionals to join as part of a flexible remote team. This role allows you to choose your projects and work hours while contributing your financial expertise to improve AI models. Preferred candidates should possess a Master's or PhD in finance or related fields.

You will play a crucial role in reviewing AI outputs and providing structured feedback to enhance AI performance. Compensation starts at $50-$60 per hour, with bonuses for high-quality work. #J-18808-Ljbffr