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Machine Learning Data Associate Jobs in Wallingford, CT

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ...

The Hartford

Sr AI Machine Learning Engineer

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ...

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products ...

Applied Aerospace & Defense

Data Engineer

Newington, CT · On-site

$114K - $137K/yr

In addition, this role leads the operationalization of machine learning models, ensuring they are ... Data Architecture and Business Intelligence * Design and optimize scalable SQL and Python-based ...

Applied Aerospace & Defense

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

In addition, this role leads the operationalization of machine learning models, ensuring they are ... Data Architecture and Business Intelligence Design and optimize scalable SQL and Python-based data ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience ... The role involves building, training, validating, and deploying machine learning models, as well as ...

Kemper

Data Science Manager

Hartford, CT · Hybrid

Responsible for developing and delivering machine learning and AI solutions for Claims use cases ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Wallingford, CT

Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Wallingford, CT is $18.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.00 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Wallingford, CT are hiring for Machine Learning Data Associate jobs?

Cities near Wallingford, CT with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Wallingford, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,080 per year, or $18.8 per hour.

Associate Faculty - Master of Science in Computer Science

Post University

Waterbury, CT • On-site

$39K - $53K/yr

Other

Re-posted 3 days ago

Post University rating

6.3

Company rating: 6.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

534th of 620 rated colleges and universities

Job description


At Post University, we believe that personalized guidance, unwavering motivation, robust support, and a student-centered education are the catalysts that allow students to achieve their individual academic and career goals. Our Associate Faculty play a central role in bringing this mission to life, especially for students navigating their first year of college.

Associate Faculty foster learning environments where students feel supported, motivated, and connected to the university community. Through intentional teaching, coaching, and relationship-building in and out of the classroom, they help students develop the skills, confidence, and sense of belonging needed to persist academically and grow into workforce-ready, socially responsible learners.

MASTER OF SCIENCE IN COMPUTER SCIENCE

ASSOCIATE FACULTY (ON CAMPUS)

School of Arts and Sciences
Post University
Waterbury, Connecticut

POSITION SUMMARY

Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We are seeking highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.

This position is for on campus instruction only at Post University's Waterbury, Connecticut campus. Successful candidates will teach graduate level courses, mentor students, contribute to academic excellence, and bring current industry and research expertise into the classroom.

The Master of Science in Computer Science program focuses on advanced topics including artificial intelligence, machine learning, software engineering, cybersecurity, cloud computing, data science, computer systems, and emerging technologies.

PRIMARY RESPONSIBILITIES

• Teach graduate level Computer Science courses in a face to face classroom environment.
• Deliver engaging, rigorous, and student centered instruction.
• Provide timely feedback and assessment of student learning.
• Mentor and advise graduate students.
• Integrate current industry practices, research, and emerging technologies into coursework.
• Participate in curriculum development, program assessment, and continuous improvement initiatives.
• Collaborate with faculty, program leadership, and university administration.
• Maintain academic records and adhere to university policies and accreditation standards.

MINIMUM QUALIFICATIONS

• Earned doctoral degree required in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Systems, Computer Engineering, or a closely related discipline.
• Demonstrated academic and/or professional expertise in the discipline being taught.
• Minimum of three years of relevant industry experience in computing, software development, cybersecurity, artificial intelligence, cloud computing, data science, systems engineering, or related technical fields.
• Strong communication, presentation, and interpersonal skills.
• Commitment to student success and academic excellence.

PREFERRED QUALIFICATIONS

• Previous graduate level teaching experience.
• Experience teaching in higher education.
• Record of scholarly activity, research, publications, presentations, or industry leadership.
• Experience developing graduate curriculum and course materials.
• Experience supervising student research, capstone projects, or thesis work.

AREAS OF EXPERTISE

Candidates with expertise in one or more of the following areas are encouraged to apply:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science and Analytics
• Software Engineering
• Cybersecurity
• Cloud Computing
• Computer Networks
• Database Systems
• Programming Languages
• Systems Architecture
• DevOps
• Distributed Systems
• Human Computer Interaction
• Information Systems
• Mobile Application Development
• Web Application Development
• High Performance Computing
• Quantum Computing

INDUSTRY CERTIFICATIONS

Professional certifications are strongly preferred and should align with the candidate's area of expertise.

Examples include:

Cybersecurity
• CISSP
• CCSP
• CEH
• Security+
• CySA+

Cloud Computing
• AWS Solutions Architect
• AWS DevOps Engineer
• Microsoft Azure Solutions Architect Expert
• Google Professional Cloud Architect

Artificial Intelligence and Data Science
• Google Professional Machine Learning Engineer
• Microsoft Azure AI Engineer Associate
• Databricks Data Engineer Certifications

Networking and Infrastructure
• CCNA
• CCNP

Project Management
• PMP
• Certified ScrumMaster (CSM)
• ITIL Foundation

WHY JOIN POST UNIVERSITY?

• Opportunity to teach and mentor graduate students in a growing Master of Science in Computer Science program.
• Collaborative academic environment with strong institutional support.
• Ability to shape the future workforce in advanced computing disciplines.
• Opportunity to contribute to curriculum innovation and program growth.
• Engagement with students pursuing careers in artificial intelligence, cybersecurity, software engineering, cloud computing, and data science.

APPLICATION MATERIALS

Interested candidates should submit:

• Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References

Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.




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