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Summer Math Jobs in Wethersfield, CT (NOW HIRING)

Beacon Communities

Occupancy Specialist

New Haven, CT · On-site

$20.25 - $25.25/hr

Basic math proficiency required. Knowledge of subsidy regulations. Proficient in Microsoft Office ... summer flex time, volunteer days and early close Fridays. * Retirement planning. We offer a 401k ...

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Summer Math information

See Wethersfield, CT salary details

$22.5K

$58.8K

$94.5K

How much do summer math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for summer math in Wethersfield, CT is $58,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are summer math programs?

Summer Math programs are educational opportunities offered during the summer months to help students strengthen their math skills, catch up on missed concepts, or get ahead for the upcoming school year. These programs can take place in-person or online and are available for a range of grade levels. They often include interactive lessons, practice problems, and sometimes enrichment activities to make learning math more engaging. Participating in summer math can help prevent learning loss and boost students' confidence in mathematics.

What are summer math jobs?

Summer math jobs include temporary and seasonal roles in which you teach or tutor students over the summer months. As a summer math teacher or tutor, you work for educational programs in summer schools, tutoring centers, and in private sessions. Your main duties include planning mathematics lessons and instructing students in a classroom setting. You help pupils to understand complex mathematical processes and offer helpful study methods and strategies. Depending on the age of your students and the setting, you devise engaging math games and activities to reinforce concepts. Keeping students engaged and creating a welcoming and educational environment are key responsibilities.

What are the typical responsibilities of a summer math teacher?

In a Summer Math teaching role, you can expect to deliver engaging math lessons to students, often in small groups or one-on-one settings. Responsibilities include planning creative activities, assessing student progress, and providing targeted support to help students strengthen foundational math skills. You'll also collaborate with other educators to adapt curriculum materials and share best practices, ensuring a supportive and effective learning environment. Flexibility and strong communication are important, as you may work with students at various grade levels and abilities.

What are the key skills and qualifications needed to thrive as a summer math teacher?

To thrive as a Summer Math Teacher, you need solid knowledge of mathematics, effective lesson planning skills, and a relevant teaching credential or coursework in education. Familiarity with educational technology, classroom management systems, and math-specific software like GeoGebra or Desmos is often required. Excellent communication, patience, and creativity help engage students and adapt to diverse learning styles in a condensed timeframe. These skills are crucial for delivering effective instruction, maintaining student interest, and achieving learning outcomes during an accelerated summer program.
More about Summer Math jobs
What are the most commonly searched types of Math jobs in Wethersfield, CT? The most popular types of Math jobs in Wethersfield, CT are:
What job categories do people searching Summer Math jobs in Wethersfield, CT look for? The top searched job categories for Summer Math jobs in Wethersfield, CT are:
What cities near Wethersfield, CT are hiring for Summer Math jobs? Cities near Wethersfield, CT with the most Summer Math job openings:
Summer Math jobs near you
Infographic showing various Summer Math job openings in Wethersfield, CT as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,825 per year, or $28.3 per hour.

Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health

Yale University

New Haven, CT • On-site

Full-time

Re-posted 15 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 616 rated colleges and universities

Job description

Description
The Yale School of Public Health (YSPH), Data Science and Data Equity (DSDE) Initiative invites applications for a Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health. This is a teaching - and training - focused faculty appointment for an individual who will help advance DSDE's educational mission by developing and delivering high-quality instruction in data science and artificial intelligence and its responsible application in public health research, practice, and policy. The home department within YSPH will be decided based on background of the applicant.
The successful candidate will contribute to YSPH's growing efforts to prepare students to understand, evaluate, and apply AI methods in ways that are rigorous, ethical, and relevant to real-world public health contexts. The Senior Lecturer will develop and teach courses on AI in Public Health and help build institutional capacity through workshops, short courses, summer programs, certificate programs, and other educational programming and offerings for students, faculty, and staff.
This faculty member will work collaboratively with colleagues across YSPH and Yale to strengthen teaching and training at the intersection of AI, data science, and public health. The ideal candidate will bring strong applied expertise, a record of exceptional teaching and educational leadership, and the ability to connect emerging AI methods and tools with the needs of public health learners and practitioners.
Senior Lecturer Expectations
In keeping with Yale's expectations for Senior Lecturers, the successful candidate will demonstrate:
  • Superior teaching that effectively brings practice into the classroom in a way that is linked to a rigorous body of knowledge.
  • Intensive engagement in the activities of the School, such that the YSPH position is the faculty member's primary career focus.
  • Hands-on coding and visualization expertise in R and Python augmented by new AI capabilities to support an applied researcher/student with cutting-edge use of data science and AI.
  • Through teaching and engagement, the provision of experience and expertise that the School views as essential but otherwise lacks in the area of AI in Public Health.
  • Serve as an academic lead for the launch of certificate programs in data science and AI in public health.

Qualifications
  • A graduate degree in a relevant field such as public health, biostatistics, epidemiology, data science, computer science, informatics, mathematics, health services research, health policy, or a related discipline.
  • Demonstrated expertise in AI methods and their applications in public health or closely related domains.
  • Demonstrated experience with coding in R and Python.
  • Evidence of exceptional teaching ability and educational leadership, such as prior instruction, curriculum development, training leadership, workshop facilitation, or comparable contributions.
  • Demonstrated ability to teach technical concepts clearly to learners with varied backgrounds.
  • Commitment to an academic environment that values intellectual rigor, integrity, and inclusive excellence.

Preferred
  • Doctoral degree in a relevant field.
  • Prior experience teaching graduate students and/or professionals.
  • Experience applying AI in public health practice settings such as government, health systems, nongovernmental organizations, implementation settings, industry, or research environments.
  • Experience teaching or developing content on responsible AI, including topics such as ethics, fairness, transparency, governance, privacy, and evaluation.
  • Experience with generative AI, large language models, or related computational tools, especially in ways that support teaching, training, or applied public health problem-solving.
  • A record of 5 or more years of exceptional teaching and educational leadership consistent with Senior Lecturer consideration.

Application Instructions
Yale University and the Yale School of Public Health are committed to excellence. We welcome applications from candidates who will contribute to the academic vitality of YSPH and to the education of public health leaders prepared to use AI responsibly and effectively for population health impact.
Appointment terms, start date, and compensation are competitive and commensurate with qualifications and experience.
Applicants should submit:
  1. A cover letter describing interest in the position and relevant experience in teaching data science and AI in Public Health.
  2. Curriculum vitae.
  3. A teaching statement that describes the applicant's approach to instruction, inclusive teaching, and integration of applied practice with scholarly rigor.
  4. Sample syllabi or course/workshop materials, if available (including an AI use policy).
  5. Teaching evaluations, if available.
  6. Names and contact information for three references.

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