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Evening Train Ai Jobs (NOW HIRING)

CCR

Portfolio Community Manager

Exton, PA · On-site +1

$70K/yr

... evening meetings * Office closes at 2:00 p.m. every Friday * AI-powered tools that reduce ... Experience in community association or property management preferred -- but we will train the right ...

Droyd Robotics

Robot Operator

San Francisco, CA · On-site

$20 - $25/hr

Our robotics team develops low-cost robotic arms used to train and deploy generalist AI models ... Day, evening, and overnight coverage may be required Compensation: $20-25/hour This role requires ...

Sandbox VR

Shift Lead (Key Holder)

Dublin, OH · On-site

$13.50 - $16.75/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Dallas, TX · On-site

$13.75 - $17.25/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Fort Worth, TX · On-site

$16.80/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Indianapolis, IN · On-site

$13.50 - $16.75/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Indianapolis, IN · On-site

$15.96/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder) Grand Canal

Las Vegas, NV · On-site

$13.25 - $16.25/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead - The Battery (Keyholder)

Atlanta, GA · On-site

$13.25 - $16.25/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Eden Prairie, MN · On-site

$17.73/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

Sandbox VR

Shift Lead (Key Holder)

Dallas, TX · On-site

$17.92/hr

Run shift check-ins, coach in real time, and train new hires * Ensure team performance, morale, and ... Evening and weekend availability may be required depending on the business' needs. To ensure a fair ...

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As of Sep 6, 2026, the average hourly pay for evening train ai in the United States is $16.35, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.23 per hour, depending on experience, location, and employer.

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Research Data Analysis PC5 X

University of Vermont

Burlington, VT • On-site, Remote

$80K - $95K/yr

Full-time

Posted 17 days ago

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 630 rated colleges and universities

Job description

Position Details
Advertising/Posting Title 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 FLSA Exempt Union Position Yes, UVMSU
Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location Burlington, Vermont, United States Job Open Date 08/20/2026 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No
Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM's mission and advancing Our Common Ground values through the execution of their job duties.

Position Information
Position Title Research Data Analysis PC5 X Posting Number S6267PO Department Rubenstein Sch Env & Nat Res/57000 Position Number 00027971 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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