1

Freelance Ai Data Labeling Jobs in Delaware (NOW HIRING)

PB Coding Coordinator

Dover, DE · On-site

$31.01 - $48.84/hr

Ongoing need for employee to see and read information, labels, documents, monitors, identify ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Develop intuitive page hierarchies, templates, navigation, and labeling within Confluence ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Showing results 21-27

Freelance Ai Data Labeling information

What is freelance AI data labeling?

Freelance AI data labeling involves working independently to annotate or tag data, such as images, text, audio, or video, to help train artificial intelligence and machine learning models. Freelancers are hired by companies or platforms to manually identify and categorize data so that algorithms can learn to recognize patterns and make accurate predictions. This work is essential for improving the accuracy and performance of AI systems in various applications, including self-driving cars, voice assistants, and content moderation. Typically, freelancers need attention to detail, basic technical skills, and sometimes domain-specific knowledge, depending on the project's requirements.

What are the key skills and qualifications needed to thrive as a freelance AI data labeler?

To thrive as a Freelance AI Data Labeler, you need strong attention to detail, basic understanding of machine learning concepts, and the ability to follow complex guidelines accurately, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes specific domain knowledge is often required. Excellent time management, reliability, and clear communication help freelancers stand out in delivering high-quality, consistent results. These skills ensure that labeled data is accurate and reliable, directly impacting the effectiveness of AI models and client satisfaction.

What are some typical challenges faced by freelance AI data labelers, and how can they be managed?

Freelance AI data labelers often encounter challenges such as maintaining accuracy while working with large volumes of repetitive data, understanding complex labeling guidelines, and managing tight deadlines across multiple clients. Effective strategies include regularly reviewing project instructions, using productivity tools to track progress, and seeking clarification from clients when uncertainties arise. Maintaining open communication with project managers and participating in feedback sessions can also help improve labeling quality and efficiency.

What is the difference between Freelance Ai Data Labeling vs Data Annotation Specialist?

AspectFreelance Ai Data LabelingData Annotation Specialist
CredentialsNone required, but familiarity with labeling tools helpsOften requires training or certification in annotation tools
Work EnvironmentRemote, flexible freelance projectsTypically employed by companies or agencies, sometimes remote
Employer & IndustryFreelance platforms, AI/ML industryTech companies, AI development teams
Search & Comparison IntentLooking for freelance labeling jobsSeeking full-time or contract annotation roles

Freelance Ai Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and project-based work. Data Annotation Specialists often work within organizations or agencies, focusing on detailed annotation tasks as part of a team. Both roles require knowledge of labeling tools, but freelancers typically have more varied projects, while specialists may have more structured employment settings.

What are the most commonly searched types of Ai Data Labeling jobs in Delaware?

The most popular types of Ai Data Labeling jobs in Delaware are:

What are popular job titles related to Freelance Ai Data Labeling jobs in Delaware?

For Freelance Ai Data Labeling jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Freelance Ai Data Labeling jobs in Delaware look for?

The top searched job categories for Freelance Ai Data Labeling jobs in Delaware are:

What cities in Delaware are hiring for Freelance Ai Data Labeling jobs?

Cities in Delaware with the most Freelance Ai Data Labeling job openings:

On-Site Sustainability Program Manager

Mary Dickson

Newark, DE • On-site

$75 - $95/hr

Other

Posted 4 days ago


Job description

Onsite Sustainability Program Manager

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 works in conjunction with system stakeholders to develop and enforce policies, procedures, and guidelines for waste management, educating team members on best practices to achieve more sustainable outcomes.

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 and coordinate appropriate resources to ensure compliance with all applicable federal, state, and local regulations governing managed waste streams, proactively identifying opportunities to mitigate regulatory, operational, and safety risks.
  • Onsite Standards Monitoring – Serve as an onsite resource to monitor all personnel and support adherence to Dharma standards and ChristianaCare safety standards.
  • Manage 3rd‑party vendor for shredding relationships, review billing, and manage initiatives including safety and regulatory compliance support, delivering billing metrics.
  • Oversee the entire Total Waste Solutions Program, driving defined program KPIs, segregation, and reduction initiatives.
  • Provide and monitor reporting of the Total Waste Solutions Program, incorporating data on additional waste streams as provided by ChristianaCare for tracking sustainability and emissions, including benchmark reporting to metric facilities and system-wide sustainability improvements.
  • Analyze and report performance metrics through waste volume, container utilization, and spend reporting (Monthly Reporting Packet and Regulatory & Waste Analysis Report), supporting data‑driven cost‑saving 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 around the full product line and services related to waste management.
  • Manage defined sustainability initiatives:
    • Container Right Sizing – Ensure facilities are outfitted with appropriately sized containers based on space and waste volume, reducing service frequency, transport, cleaning, and emissions.
    • Optimization of Service and Routing – Monitor and leverage waste volume data to maximize onsite storage, reduce pickup frequency, and optimize service routes, minimizing fuel consumption.
    • Proper Waste Segregation and Waste Reduction Initiatives – Maintain correct waste classification through education, ensuring streams are processed per regulations and reducing diversion to higher treatment waste streams that require additional transport or incineration.
    • Coordinate and proactively recommend process changes that increase waste diversion from landfills while creating new sustainability opportunities.
  • 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.

We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and analyzing resumes. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans.

#J-18808-Ljbffr