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Virtual Data Labelling Jobs in Delaware (NOW HIRING)

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 Delaware? The most popular types of Data Labelling jobs in Delaware are:
What are popular job titles related to Virtual Data Labelling jobs in Delaware? For Virtual Data Labelling jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Delaware look for? The top searched job categories for Virtual Data Labelling jobs in Delaware are:
What cities in Delaware are hiring for Virtual Data Labelling jobs? Cities in Delaware with the most Virtual Data Labelling job openings:
On-Site Sustainability Program Manager

On-Site Sustainability Program Manager

Daniels Health

Newark, DE • On-site

$85K - $99K/yr

Other

Posted 26 days ago


Daniels Health rating

5.0

Company rating: 5.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

The Onsite Sustainability Program Manager is responsible for ChristianaCare's waste management strategy, objectives, and assessment of business impact while adhering to the organization's code of ethics and corporate compliance/waste program and sustainability goals. This individual is responsible for working in conjunction with
the system's stakeholders on all relevant policies, procedures and guidelines for waste management while educating Daniels' products, services and best practices while providing more sustainable outcomes for ChristianaCare.
 
Key Responsibilities:
} Support the development and execution of ChristianaCare's strategies that align with defined key business metrics around best practices, compliance, training, cost savings, sustainability etc.

} Develop communication channels and meeting cadence with key stakeholders at each facility.

} Regulatory Compliance Support - Provide onsite support, including coordination of appropriate resources, to support compliance with all applicable federal, state, and local regulations governing Daniels managed waste streams, while proactively identifying opportunities to mitigate regulatory, operational, and safety risks. This includes support and coordination of proper classification, handling, storage, documentation, training, vendor compliance, trend analysis, and corrective action follow up to reduce risk exposure and maintain continuous regulatory readiness across all facilities.
 
} Onsite Standards Monitoring - Serve as an onsite resource to monitor all Daniels employees and support adherence to Daniels standards and ChristianaCare safety standards.
 
} Manage 3rd party vendor for shredding relationships, reviewing billing, managing initiatives including safety and regulatory compliance support, and delivering billing metrics.
 
} Oversee the entire Daniels Total Waste Solutions Program driving defined program KPIs, segregation and reduction initiatives.
 
} Provide and monitor reporting of Daniels Total Waste Solutions Program, incorporating data on additional waste streams as provided by ChristianaCare, for the purpose of tracking sustainability and emissions. In addition, there will be benchmark reporting to metric facility and system sustainability improvements, as well as comparisons to other large health systems across the country.
 
} Analyze and report ChristianaCare's performance metrics through reporting on waste volumes, container utilization, and spend (Monthly Reporting Packet and Regulatory & Waste Analysis Report), and support data driven cost savings and efficiency recommendations based on trend analysis, utilization patterns, and waste stream optimization opportunities.
 
} Align internal relationships to support ChristianaCare with Billing, Operations, Service and Sustainability.
 
} Provide expertise and support to ChristianaCare around the Daniels' full product line and services.
ChristianaCare 
 
} Manage defined sustainability initiatives:
Container Right Sizing - Ensure that facility is outfitted with the right-sized container for the space available as well as for the volume of waste that is generated per area or unit of the hospital; driving the ability to collect more waste per bin results in less service, transport, cleaning, and emissions output.
Optimization of Service and Routing - monitor and leverage waste volume data and maximize available onsite storage to effectively reduce the total number of pickups required, which results in less transport. In addition, routinely review and optimize service routes to minimize fuel consumption.
Proper Waste Segregation and Waste Reduction Initiatives - continuous focus on correct waste classification through education. Ensure that waste streams are being processed in accordance with all regulations, while reducing waste going into higher treatment waste stream levels that require additional transport, incineration, etc.
Coordinate and work with relevant team to proactively identify and recommend process changes that increase waste diversion from landfills while creating new opportunities to advance sustainability efforts.
 
} Complete routine audits:
Hospital site level sharps, RMW, chemo and non-hazardous pharmaceutical waste audits.
Hospital site level confidential document shredding audits.
Ad hoc waste audits available upon request.
 
} System-level training and education (in-person/virtual)
Proper waste segregation aligned with ChristianaCare's waste policy, reduction initiatives, and sustainability efforts.
Best practices for safe and compliant disposal.
Container specific features, functions, and benefits.
Hazardous waste paperwork, packaging, and labeling.
Consumable ordering.
Ad hoc training upon request or as needed.
 
} Support and project manage new implementations.

Support Team: Commercial Finance, Field Service, Plant Operations, Account Management, Logistics, and Billing
$85,133 - $99,557 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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