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Weekend Ai Data Annotation Jobs in Vermont (NOW HIRING)

Keurig Dr Pepper

Production Technician

Essex Junction, VT · On-site

$25.46/hr

... weekends, and holidays is required as scheduled. Position Responsibilities: Maintain a safe and ... Understand and help drive improvement to quality systems and policies (Quality Data System, Safe ...

Zonos

Customs Entry Writer/Auditor

Saint George, VT · On-site

$50 - $70/hr

... with AI-driven tools that infer and validate key customs data, including HS codes, country of ... evenings, weekends, and holidays. Reliability during your assigned hours is critical. You don't ...

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Keurig Dr Pepper

Production Technician

Essex Junction, VT · On-site

$25.46/hr

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 ...

Keurig Dr Pepper

Production Technician

Essex Junction, VT · On-site

$25.46/hr

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 ...

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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 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 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.

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 are popular job titles related to Weekend Ai Data Annotation jobs in Vermont?

For Weekend Ai Data Annotation jobs in Vermont, the most frequently searched job titles 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:

Weekend Ai Data Annotation jobs near you
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.

AI/ML Ecosystem Data Analyst

The University of Vermont

Burlington, VT • On-site

$80K - $95K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

University Of Vermont rating

8.1

Company rating: 8.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

170th of 628 rated colleges and universities

Job description

AI/ML Ecosystem Data Analyst
Posting Summary
Serve as the AI/ML Ecosystem Data Analyst within the USGS Research Cooperative Unit at UVM ,and in collaboration with the Spatial Analysis Lab ( SAL ). The primary role of this position is to analyze ecological data and design, build, and operationalize AI/ML workflows that collect, process, and derive insight from heterogeneous data sources, including wildlife imagery, bioacoustics recordings, geospatial and remotely sensed data, sensor networks, and field observations. Develop, train, evaluate, and deploy AI/ML models for mapping, classification, and detection of wildlife and other features, and build the data pipelines, databases, and R Shiny or comparable interfaces that make results reproducible, maintainable, and accessible to researchers, partners, and the public. Support the AI/ML branch of RSENR within the Cooperative Unit and SAL , contribute to ecosystem monitoring efforts, and help oversee the Alliance for Monitoring Biodiversity and Ecosystems Remotely ( AMBER ) program. Work under the direction of the USGS Research Cooperative Unit Leader and collaborate with the SAL Director, RSENR , and other partners on grant writing, business development, and research initiatives, while independently pursuing outside funding opportunities. Partner with geospatial analysts and the development team lead on research and development of new AI/ML methods and models
Minimum Qualifications (or equivalent combination of education and experience)
- PhD in Computer Science, Wildlife Biology, Ecology, Data Science, Bioinformatics, or a closely related discipline, and four years related professional experience.
- Demonstrated expertise in data science, machine learning, and AI applications.
- Strong proficiency in relational database design and management, including stand-alone programs such as SQLite and served databases such as SQL or Postgres.
- Experience with APIs, web services, Power Automate, Teams, and Sharepoint for workflow integration.
- Strong record of interdisciplinary collaboration and scientific productivity.
- Experience managing complex technical or research projects, including grant writing.
- Experience with cloud-native infrastructure and scalable AI workflows, focused primarily on the R and Python coding languages.
- Substantial experience in working with the public and agency monitoring partners.
Desirable Qualifications
- Postdoctoral experience preferred
- High proficiency in public outreach and instruction desired
- Supervisory or personnel management experience desired
Anticipated Pay Range
$80,000 - $95,000
Other Information
Special Conditions
A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), Travel to and from worksites required, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position

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