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Weekend Ai Data Annotation Jobs in Vermont (NOW HIRING)

Understand and help drive improvement to quality systems and policies (Quality Data System, Safe ... AI does not make hiring decisions; all decisions throughout the hiring process are made by talent ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

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Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

How much do you get paid for AI data annotation?

The pay for AI data annotation jobs varies depending on the employer, project complexity, and experience level, but typically ranges from $10 to $20 per hour or $0.02 to $0.10 per task. Many roles are paid on a per-task basis, and some may offer bonuses for accuracy or speed. Compensation can also depend on whether the work is freelance or employed by a company.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are the most commonly searched types of Ai Data Annotation jobs in Vermont? The most popular types of Ai Data Annotation jobs in Vermont are:
What job categories do people searching Weekend Ai Data Annotation jobs in Vermont look for? The top searched job categories for Weekend Ai Data Annotation jobs in Vermont are:
What cities in Vermont are hiring for Weekend Ai Data Annotation jobs? Cities in Vermont with the most Weekend Ai Data Annotation job openings:
Infographic showing various Weekend Ai Data Annotation job openings in Vermont as of June 2026, with employment types broken down into 63% Full Time, 33% Part Time, 3% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Director, Data Platform & Engineering

The University of Vermont Health Network

South Burlington, VT • On-site

$91.98 - $110.37/hr

Full-time

Re-posted 28 days ago


University Of Vermont Health Network rating

7.8

Company rating: 7.8 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description

Building Name: UVMMC - 40 IDX Drive
Location Address: 40 IDX Drive, South Burlington Vermont
Regular
Department: UVMH Enterprise Data and Analytics
Full Time
Standard Hours: 40
Biweekly Scheduled Hours:
Shift: Day
Primary Shift: -
Weekend Needs: None
Salary Range: Min $73.58 Mid $91.98 Max $110.37
Recruiter: Chelsea Therrien
Job Summary:
The Director, Data Platform & Services leads the team responsible for designing, building, and maintaining UVM Health's enterprise analytics data infrastructure. The Director ensures analyst and engineering teams are achieving the priority needs of the organization with efficient, high-performing processes. The Director enforces an agile development methodology with well-documented data pipelines, strong job monitoring processes, and a robust focus on data uptime and quality. The Director serves as senior solution architect, making final design decisions to support a robust, scalable, and supportable data platform. The Director enforces data governance, researches new technologies and works with leadership to fund and plan for implementation, manages strategic vendor partnerships, and enables AI tools such as Copilot and natural language querying of the data platform.
Education:
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field required; Master's degree preferred.
Experience:
• 8+ years of experience in data engineering, data platform leadership, or related roles.
• 5+ years in a management role.
• Demonstrated experience with Microsoft Fabric, Azure, or similar cloud data platform technologies.
• Proven track record of building and managing agile data engineering teams.
• Experience managing technology vendor relationships, contracts, and budgets.
• Experience serving as a senior solution architect for enterprise-scale data platforms.
• Experience working in agile product delivery preferred.

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About University of Vermont Health Network

Sourced by ZipRecruiter

The University of Vermont Health Network (UVM Health Network) is a renowned leader in the healthcare industry, located in Burlington, VT, US. It's a non-profit, academically integrated health care system, designed to ensure a coordinated, high-quality experience for patients across the entire health system. It originated from a partnership among six hospitals, a visiting nurse association, and a health plan, which eventually led to the formation of the current integrated network. Built on the core values of quality, caring, integrity, and collaboration, UVM Health Network is dedicated to improving the health of the people in the communities it serves.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Burlington, VT, US

Year founded

1971

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