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Virtual Data Labelling Jobs in Denver, CO (NOW HIRING)

The NQ Plan Analyst team (Direct and Private Label) oversees the day-to-day workflow for assigned ... Research data issues, including information on Risk Mitigation reports, to ensure data completeness.

Network Design Engineer

Aurora, CO · On-site

$92K - $166K/yr

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... Label Switching (MPLS) Wide Area Networks (WANs). Basic Requirements * Required Clearance to be ...

Network Design Engineer

Aurora, CO · On-site

$73K - $132K/yr

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... work on Multiprotocol Label Switching (MPLS) Wide Area Networks (WANs). Basic Requirements

Network Design Engineer

Aurora, CO · On-site

$73K - $132K/yr

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... work on Multiprotocol Label Switching (MPLS) Wide Area Networks (WANs). Basic Requirements

... critical data flows * Provide technical expertise to Operations engineers and technicians ... Multiprotocol Label Switching (MPLS) Wide Area Networks (WANs) Requirements * TS/SCI CI Poly ...

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... Label Switching (MPLS) Wide Area Networks (WANs). Required Clearance: TS/SCI with polygraph. (#ts ...

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Showing results 1-20

Virtual Data Labelling information

See Denver, CO salary details

$47.3K

$169.8K

$250.6K

How much do virtual data labelling jobs pay per year?

As of Aug 4, 2026, the average yearly pay for virtual data labelling in Denver, CO is $169,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,400.00 and $175,000.00 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.

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 Denver, CO? The most popular types of Data Labelling jobs in Denver, CO are:
What are popular job titles related to Virtual Data Labelling jobs in Denver, CO? For Virtual Data Labelling jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Denver, CO look for? The top searched job categories for Virtual Data Labelling jobs in Denver, CO are:

NQ Plan Analyst

ASCENSUS

Denver, CO • Remote

Full-time

Re-posted 21 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Newport, an Ascensus company, helps employers offer their associates a more secure financial future throughretirement plans,insuranceandconsulting services. Newport offers comprehensive plan solutions and consulting expertise to plan sponsors and the advisors who serve them. As a provider and partner, Newport is independent, experienced, and responsive.

NQ Plan Analyst is an integral part of the client services team that leads end-to-end administration and oversight of assigned non-qualified plans, exercising judgment in managing plan provisions and client outcomes. The NQ Plan Analyst team (Direct and Private Label) oversees the day-to-day workflow for assigned clients, acting as the central coordination point between plan sponsors, participants, operational teams, and relationship management. The NQ Plan Analyst is accountable for plan integrity, risk mitigation, and operational decision-making, including evaluation of plan activity, data accuracy, and financial transactions. As well as serving as a key decision-maker for escalated issues, determining appropriate resolutions based on plan provisions, regulatory considerations, and operational impact. Decisions made in this role directly impact client outcomes, regulatory compliance, and financial transactions, requiring sound judgment and risk assessment.

Job Functions, Essential Duties and Responsibilities

Implement, track, monitor, and maintain client non-qualified benefit plan accounts, fund investments and distributions.

Interpret workflows; using best practices while identifying efficiency opportunities. Support key initiatives.

Provide operational knowledge, including providing technical expertise and support to clients and internal business partners for issues.

Evaluate and solve business and operational issues, determine root cause, and make independent and / or collaborative decisions on resolution approach and execution.

Drive resolution of escalated client and participant issues, independently determining appropriate actions and balancing risk, compliance, and client impact. Determine resolution strategies, including deviation from standard procedures when necessary.

Own operational strategy and execution for assigned plans, prioritizing work, resolving conflicts, and determining optimal approaches to deliver outcomes.

Act as initial point of escalation for participant inquiries through the call center; respond in accordance with standard turnaround.

Support Relationship Manager (RM) / Client Service Manager (CSM) team in the daily service of clients, including direct correspondence with client contacts. Make recommendations on the servicing of shared clients, exercising judgment to provide best in class service.

Facilitate daily transactional activity with the Trustee and trading desk. Coordinate with Same Day Trading, Asset Liability Management, and Fund Operations teams to direct appropriate asset transactions, fund swaps, and trust activity on behalf of assigned client plans.

Coordinate with the Enrollment team to ensure correct setup of participants and elections pre-enrollment. Manage and ensure accuracy of online enrollment windows.

Handle post-enrollment steps including auditing elections, client reporting, and providing data to load to the Production environment.

Research data issues, including information on Risk Mitigation reports, to ensure data completeness.

Act as Product Owner for Payroll and Census tools, managing updates and troubleshooting as needed.

Provide data and reporting outputs to internal teams (trading, enrollment, RM) at defined points in the workflow cycle.

Supervision: N/A

Experience, Skills, Knowledge Requirements Required Education, Experience & Certifications

Bachelor's degree in a business-related field or industry experience, or a combination of education and industry experience.

3+ years' experience working in a related position in the retirement services sector.

Strong MS Office skills including Excel, Word, PowerPoint, and Adobe.

Ability to work in a deadline-driven environment with a demonstrated track record of accuracy and consistency.

Preferred (but not required) Education & Skills

Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.

Ability to write reports, business correspondence, and procedure manuals.

Ability to apply advanced mathematical concepts utilizing current spreadsheet and accounting database software programs.

Familiarity with McCamish recordkeeping system and the ability to research participant data via data extract files.

Experience with non-qualified deferred compensation plan structures and 409A / 457(b) and 457(f) compliance requirements.

For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual workspace and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 Mbps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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