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Machine Learning Data Associate Jobs in New Jersey

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

Build and manage datasets, including data collection, labeling, preparation, augmentation, and validation. Own the full machine learning lifecycle, from data preparation and model training through ...

Walmart

(USA) Principal, Data Scientist

Sayreville, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Union City, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Hackensack, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Passaic, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Hoboken, NJ

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

West New York, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

East Orange, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Perth Amboy, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

Design and implement machine learning models, including feature engineering and validation, to ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in New Jersey

Machine Learning Data Associate information

See New Jersey salary details

$10

$19

$31

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 New Jersey is $19.02, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.24 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 in New Jersey are hiring for Machine Learning Data Associate jobs?

Cities in New Jersey 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 New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,568 per year, or $19 per hour.

Machine Learning Expert

Adidev Technologies Inc

Jersey City, NJ

Full-time

Re-posted 7 days ago

Job description

Role  - Machine Learning Expert 

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

 

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

 

  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements:

  • Degree in Computer Science, Engineering, Statistics, or a related technical field.

  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

  • Strong foundational understanding of algorithmic complexity and data structure optimization.

  • Excellent problem-solving, collaboration, and communication abilities.

  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.


How to Apply:

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond!

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

We provide support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

 

Ready to Embark? 

We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

 

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME

Apply