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Virtual Data Labelling Jobs in Minnesota (NOW HIRING)

Harris

Virtual Construction Designer

Zumbrota, MN · On-site +1

$23.18 - $34.77/hr

Organize and utilize AEC data for use with shop drawings per company standards. * Organize and build shop drawing files per scope. Initial Detailing / System Modeling: * Generate 3D models of piping ...

Houston Methodist

... and labeling machines, automated drug dispensing equipment, prescription balances, and portable data processing units * Exhibits strong interpersonal and team player skills with all levels of the ...

Lancesoft

Imaging Tech II - Non-Exempt

MN · On-site +1

$38 - $43/hr

Data Annotation * ECG Nice to Have: * IBHRE certification HM's Top Needs: * CCI CRAT or CCT ... labels for AI development purposes. * Deliver annotation projects assigned and work with other ...

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Virtual Data Labelling information

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.

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 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 Minnesota? The most popular types of Data Labelling jobs in Minnesota are:
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What job categories do people searching Virtual Data Labelling jobs in Minnesota look for? The top searched job categories for Virtual Data Labelling jobs in Minnesota are:
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Virtual Data Labelling jobs near you

Data Protection and Microsoft Purview Consultant

Horizontal Talent

Saint Paul, MN • On-site, Remote

Full-time

Posted 5 days ago

Job description

Join a high-impact contract opportunity focused on strengthening Microsoft Purview data protection and governance. In this hands-on role, you will help optimize classification, labeling, DLP, and alerting processes while supporting incident review and evaluating complementary data protection tools.

Responsibilities
  • Assess the current Microsoft Purview environment and identify opportunities to improve stability, governance, and effectiveness.
  • Review and refine sensitive information types, labeling strategies, auto-labeling, and inheritance behavior.
  • Tune DLP policies to help reduce false positives and improve detection accuracy.
  • Analyze alert volume, interpret findings, and recommend practical improvements.
  • Support investigations related to sensitive data handling and help interpret alerts and escalations.
  • Lead hands-on evaluation and proof-of-concept testing of alternative or complementary data governance tools.
  • Document the current configuration, key findings, and recommended next steps.
  • Provide knowledge transfer, coaching, and training support to internal teams.
Skills
  • 5+ years of experience in data protection, cloud security, or information security.
  • Deep hands-on expertise with Microsoft Purview, including Information Protection, DLP, sensitive information types, eDiscovery, and Insider Risk.
  • Strong understanding of Microsoft E5 security and compliance capabilities.
  • Proven ability to improve data classification, labeling, and policy effectiveness.
  • Experience reducing noise and false positives in security or compliance alerting.
  • Ability to support compliance-focused initiatives and collaborate with technical and non-technical stakeholders.
  • Clear communication skills and a practical, solution-oriented approach.
Preferred Skills
  • Experience redesigning labeling taxonomies.
  • Background evaluating or implementing data protection platforms and related tools.
  • Experience working in compliance-driven environments.
  • Ability to translate technical findings into actionable recommendations.

Horizontal is committed to fostering an inclusive, respectful, and equitable workplace where people of all backgrounds can contribute and thrive. We value diverse perspectives and encourage candidates who bring a range of experiences and ideas to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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