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Participate Learning Jobs in Connecticut (NOW HIRING)

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Participate Learning information

See Connecticut salary details

$10.5K

$79.8K

$133.2K

How much do participate learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for participate learning in Connecticut is $79,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the main responsibilities and collaborative aspects of working as a teacher with Participate Learning's global education programs?

As a teacher with Participate Learning, you will typically be responsible for delivering curriculum content while incorporating global perspectives and cultural exchange in the classroom. The role involves close collaboration with local teaching staff, school administrators, and fellow international educators to enrich students’ learning experiences. Teachers are also expected to contribute to school community activities and professional development sessions, fostering a supportive environment for both students and colleagues. This collaborative and multicultural setting offers opportunities to develop new teaching strategies, gain international experience, and advance your career in global education.

What are the key skills and qualifications needed to thrive as a teacher with Participate Learning, and why are they important?

To thrive as a teacher with Participate Learning, you need a teaching degree, state certification, and a strong understanding of curriculum development and classroom management. Familiarity with digital learning platforms, educational technology, and assessment tools is typically required. Cultural adaptability, strong communication, and collaboration skills help teachers engage diverse student populations and work effectively in international settings. These abilities are crucial for fostering a positive learning environment and achieving educational outcomes in globally-minded classrooms.

What is Participate Learning?

Participate Learning is an educational organization that partners with schools and districts to provide global education programs, including international teacher exchange, dual language immersion, and global leadership development. Their primary focus is to bring experienced international educators into U.S. classrooms to promote cultural exchange and global awareness among students. Participate Learning supports teachers through professional development, resources, and a supportive community, aiming to enrich education by fostering cross-cultural understanding.

What is the difference between Participate Learning vs ESL Teacher?

AspectParticipate LearningESL Teacher
CredentialsTeaching certification, TESOL/TEFLTeaching certification, TESOL/TEFL
Work EnvironmentInternational schools, cultural exchange programsLanguage schools, public/private schools, online platforms
Industry UsageGlobal education programs, cultural immersionLanguage instruction, ESL programs

Participate Learning and ESL Teachers both require teaching certifications and often work in educational settings focused on language and cultural exchange. While Participate Learning emphasizes international programs and cultural immersion, ESL Teachers primarily focus on language instruction within local or online classrooms. Both roles serve the education industry but differ in scope and environment.

What are popular job titles related to Participate Learning jobs in Connecticut? For Participate Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Participate Learning jobs in Connecticut look for? The top searched job categories for Participate Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Participate Learning jobs? Cities in Connecticut with the most Participate Learning job openings:
Participate Learning jobs near you
Infographic showing various Participate Learning job openings in Connecticut as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $79,799 per year, or $38.4 per hour.

Sr AI Machine Learning Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$117K - $175K/yr

Full-time

Re-posted 26 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and platform leaders to deliver measurable impact.
Our core values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities
  • Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
  • Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
  • Accountable for deployment design, development and maintenance of both traditional ML and AI models.
  • Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
  • Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Delivery of critical milestones for model deployment in the AWS and GCP clouds.
  • Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Master's degree in related field or 5+ years of equivalent experience in a research or DevOps function.
  • Development experience developing solutions within AWS, GCP or both.
  • Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
  • Experience building and deploying API services within the Cloud.
  • Experience building CICD pipeline using Jenkins or equivalent
  • Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
  • Experience in Unix, git, and strong object oriented development experience using Python
  • Experience in end to end model development lifecycle, from ideation through post production monitoring.
  • Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
  • Basic understanding of Data Science model development life cycle
  • Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM's into automated processes

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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