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Virtual Data Labelling Jobs in Washington (NOW HIRING)

... Support data center operations including equipment racking, asset labeling, hardware ... Convenience/Concierge - Virtual health visits, commuter perks, pet insurance, and entertainment ...

... Support data center operations including equipment racking, asset labeling, hardware ... Convenience/Concierge - Virtual health visits, commuter perks, pet insurance, and entertainment ...

... Support data center operations including equipment racking, asset labeling, hardware ... Convenience/Concierge - Virtual health visits, commuter perks, pet insurance, and entertainment ...

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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.

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 Washington? The most popular types of Data Labelling jobs in Washington are:
What are popular job titles related to Virtual Data Labelling jobs in Washington? For Virtual Data Labelling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Washington look for? The top searched job categories for Virtual Data Labelling jobs in Washington are:
What cities in Washington are hiring for Virtual Data Labelling jobs? Cities in Washington with the most Virtual Data Labelling job openings:
Network Engineer with Security Clearance

Network Engineer with Security Clearance

Booz Allen Hamilton

Lorton, VA

$62K - $141K/yr

Other

Medical, Life, Retirement, PTO

Posted 16 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Number: R0242179 Network Engineer The Opportunity: A well-designed network is critical to move data and enable the USG and commercial partners to achieve their missions, but how can an organization make sure their network will fit their current and evolving needs? Crafting the right network, with the right equipment and software, requires a combination of technical skill and careful planning. That's why we need you, a seasoned network engineer who knows how to develop the exact network needs for all branches of the USG and commercial partners, and some international customers. You will handle multiple integration projects as well as take a lead role in time to showcase to potential customers. As a network engineer on our team, you'll use your experience in network design and architecture, system interoperability, OSI model, network transport layers, multi-protocol label switching, gateway protocol, virtual routing and forwarding to support the nation's defense and respond to evolving adversaries. You'll upgrade or develop enterprise-wide infrastructure, troubleshoot and resolve complex network issues, analyze current working infrastructures and increase security, reliability, and availability for mission-critical network systems. You'll apply your expertise in routing and switching, integration of encryption gear, network design and architecture, system interoperability, IP engineering, network transport layers, multi-protocol label switching, gateway protocol, virtual routing, and forwarding as you guide our team of problem-solvers to help the DoD and other partners evolve and deploy new capabilities and technologies. Your knowledge of network protocols, equipment, emerging technology, and configurations will come in handy as you optimize client operations and modernization. Using your experience in Crytographic equipment, cryptography, key management, software and hardware firewalls, Cisco hardware, Palo Alto firewalls, cloud migration, optical infrastructure networking, virtual routing and forwarding, Juniper SSR, AWS Gov Cloud you'll serve as a trusted advisor to clients on mission-critical projects. Using your technical curiosity and knowledge of industry standards, you'll make an impact on national security missions. Advance your career with us as we help develop new emerging Edge Technologies and products to best serve our USG customers. Join us. The world can't wait. You Have: * 4+ years of experience in network engineering
* 2+ years of experience with Linux systems
* 2+ years of experience with SATCOM and Fiber systems, or VMWare
* Experience with ATAK Devices
* Experience with Department of Defense clients and their systems in a secure Government space
* Knowledge of C5ISR Systems maintainer and Kubernetes
* Ability to work in AWS Gov Cloud and Edge Node device
* Secret clearance
* HS diploma or GED
* DoD Approved 8570 Information Assurance Technician Level II (IAT-II) Certification, including CCNA Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Nice If You Have: * 7+ years of experience in network engineering
* 3+ years of experience with Department of Defense clients and their systems in a secure Government space
* Knowledge of JBoss, RHEL, or PodMan to build containers
* Ability to develop Linux-based solutions using scripting and Bash to automated solutions
* Top Secret clearance
* Bachelor's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914