1

Virtual Data Labelling Jobs in Milwaukee, WI (NOW HIRING)

In this role, you will be proctoring oral saliva-based drug screen tests in a virtual testing ... Test kit prepping: assembly, boxing, label printing/cutting. * Special projects and duties as ...

In this role, you will be proctoring oral saliva-based drug screen tests in a virtual testing ... Test kit prepping: assembly, boxing, label printing/cutting. * Special projects and duties as ...

Virtual Data Labelling information

See Milwaukee, WI salary details

$45.3K

$162.6K

$239.9K

How much do virtual data labelling jobs pay per year?

As of Jun 25, 2026, the average yearly pay for virtual data labelling in Milwaukee, WI is $162,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Data Labelling vs Data Annotation Specialist?

AspectVirtual Data LabellingData Annotation Specialist
CredentialsBasic computer skills, training in labelling toolsSimilar, often requires training in annotation software
Work EnvironmentRemote, online platformsRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentLabeling data for AI modelsAnnotating data for machine learning

Both roles involve preparing data for AI systems, but Virtual Data Labelling focuses on assigning labels to datasets using online tools, while Data Annotation Specialists may perform more detailed annotations, often requiring specific domain knowledge. Both are essential in AI development and share similar work environments and skill requirements.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Many roles are freelance or part-time, with some positions offering bonuses for accuracy or speed.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning, offering opportunities to develop skills in data management and understanding AI workflows. It often requires attention to detail and familiarity with tools like annotation software, with flexible schedules and remote work options available. Career growth can lead to roles in data analysis, quality assurance, or AI development.

What is virtual data labelling?

Virtual data labelling is the process of annotating or tagging data, such as images, videos, or text, through online platforms to make it understandable for machine learning algorithms. Data labelers work remotely to identify and categorize objects, features, or information within datasets, which helps train artificial intelligence systems. This job is essential in industries like autonomous vehicles, healthcare, and e-commerce, where large volumes of labelled data are needed to improve AI accuracy.

How can I make $2000 a week working from home?

Virtual data labeling jobs can offer flexible income, but earning $2000 weekly typically requires completing a high volume of tasks or working multiple projects simultaneously. Success depends on experience, efficiency, and access to platforms that pay well, such as those offering premium or specialized labeling tasks.

How to make $1000 a week remote?

Virtual Data Labelling jobs can help you earn income remotely by labeling datasets for AI and machine learning projects. To make $1000 a week, you typically need to work consistently, complete high-volume labeling tasks efficiently, and possibly specialize in areas like image or audio annotation. Building a strong profile, gaining experience, and using platforms that pay well can increase your earning potential.

How does a virtual data labeller typically collaborate with data scientists and machine learning engineers?

Virtual data labellers play a crucial role in supporting data scientists and machine learning engineers by accurately tagging data that will be used to train and validate models. Collaboration often occurs through project management tools or direct communication platforms, where labellers receive guidelines and feedback to ensure consistency and quality. Regular check-ins or quality audits are common, and labellers may join virtual meetings to clarify requirements or discuss ambiguous cases. This teamwork helps ensure that the labelled data meets project standards and contributes to the success of AI initiatives.

What are the key skills and qualifications needed to thrive as a Virtual Data Labeller, and why are they important?

To thrive as a Virtual Data Labeller, you need strong attention to detail, accuracy, and basic data processing skills, typically supported by a high school diploma or relevant experience. Familiarity with data annotation tools, content management systems, and sometimes basic programming or spreadsheet software is important. Strong time management, focus, and effective communication skills help you meet deadlines and collaborate with remote teams. These abilities are crucial to ensure high-quality, consistent data labelling that directly impacts the performance of machine learning models.
What are the most commonly searched types of Data Labelling jobs in Milwaukee, WI? The most popular types of Data Labelling jobs in Milwaukee, WI are:
What are popular job titles related to Virtual Data Labelling jobs in Milwaukee, WI? For Virtual Data Labelling jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Milwaukee, WI look for? The top searched job categories for Virtual Data Labelling jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Virtual Data Labelling jobs? Cities near Milwaukee, WI with the most Virtual Data Labelling job openings:
Infographic showing various Virtual Data Labelling job openings in Milwaukee, WI as of June 2026, with employment types broken down into 45% As Needed, 14% Full Time, 5% Part Time, 9% Temporary, and 27% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,583 per year, or $78.2 per hour.
Drug Proctor

Drug Proctor

Novir

Milwaukee, WI • On-site

Other

Posted 8 days ago


Job description

Who We Are
Novir is an emerging diagnostic biotechnology company with an unmatched team of professionals and trusted partners delivering smart, fast and flexible testing solutions supported by reliable, cost-effective screening products and best-in-class technology.
Our Values
Care for Tomorrow. Create a lasting, positive difference in the lives of others. Serve people with compassion and understanding. Recognize what truly matters and center every action around meeting the needs of our community both now and into the future.
Delight our Customers. Appreciate every interaction with our customers and find ways to bring them joy. See through the Customer's eyes, understand and anticipate their needs to consistently deliver solutions exceeding their expectations.
Be Bold - Say It. Be direct and open. Speak with honesty and courage, and respect others for doing the same. Say what you think, embrace passionate debate, and always bring the issue to the table. Communicate with confidence.
Bring Your Best Self. Show up and be authentic. Utilize your greatest strengths and stay true to who you are. Bring positive energy, be genuine in your approach, and continually seek ways to grow. Be uncompromisingly you.
Innovate Relentlessly. Explore new possibilities and be willing to take a risk. Challenge status quo. Try new ideas, learn from mistakes, and rally the team to raise the bar.
About This Role:
We're looking for a Drug Test Proctor to join our innovative growing team. In this role, you will be proctoring oral saliva-based drug screen tests in a virtual testing session. To be successful in this role, the ideal candidate will be a strong communicator, a tech savvy problem solver and a highly professional individual. Novir is looking for someone who has experience providing an excellent customer experience, and who is comfortable in a virtual environment.
Current Scheduling Needs: Monday through Friday 6:00 AM to noon and 3:00 PM to 9:00 PM
Key Qualifications:
  • 2+ years in a customer facing role, preferably providing remote customer service or support.
  • Strong technical acumen, at least 2+years' experience using video programs such as Zoom or Microsoft Teams.
  • Excellent verbal communication skills and strong attention to detail.
  • Bilingual in English/Spanish a plus.
  • Strong sense of confidentiality and professionalism.
  • Tech savvy problem solver who can multi-task to solve a variety of issues quickly.
  • Resolve issues to consumer satisfaction and within guidelines of the service policy.
  • Flexible schedule preferred. Must be able to work during the shifts described below. Must be able to work peak times that the call center is open, may include weekends and holidays. Hours are subject to change as business dictates.
  • Ability to stand long periods of time and lift packages up to 50 lbs when assisting with fulfillment activities such as Pick, Pack and Shipping.
  • Test kit prepping: assembly, boxing, label printing/cutting.
  • Special projects and duties as assigned.

Scheduling:
  • Onsite role at our headquarters in the Third Ward in Milwaukee, WI.
  • Up to 30 hours per week for part time.
  • Opportunity for overtime during expanded hours and peak times.
  • Availability to work a flexible schedule of Monday - Friday and weekend rotation based on business need.
  • Paid on-call opportunities nights and weekends available based on business needs.

Who You Are:
  • You're A Strong Communicator: You are comfortable communicating with candidates, donors, and internal team members clearly and concisely.
  • You're Organized: You have strong attention to detail, never miss the little things, and have focused productivity and accuracy.
  • You're A People Person - Customer service is at the core of everything you do, and you are a great partner both internally and externally.

$0 - $0 an hour
Novir is a fast-growing startup with a work hard, play hard attitude. We look for smart, motivated individuals who are excited to build something incredible from the ground up!
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.