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Full Time Machine Learning Data Annotation 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 ...

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

Lead the analysis of business-critical data across products, domains, and primes, applying statistical, artificial intelligence, and machine learning methods, and recommend improvements; work with ...

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 ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Walmart

(USA) Principal, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

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

Walmart

(USA) Principal, Data Scientist

Passaic, NJ · On-site

$132K - $264K/yr

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

Walmart

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

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

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time ...

Walmart

(USA) Principal, Data Scientist

Sayreville, NJ · On-site

$132K - $264K/yr

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

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Full Time Machine Learning Data Annotation information

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in New Jersey?

The most popular types of Machine Learning Data Annotation jobs in New Jersey are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in New Jersey?

For Full Time Machine Learning Data Annotation jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in New Jersey look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in New Jersey are:

Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Software Engineer III - AI/ML Platform Engineer

Jersey City, NJ • On-site

JP Morgan Chase
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 172 rated banks

People enjoy working here

Good employer

Recommended by students

Learn more about JP Morgan Chaseexternal

Full-time

Medical, Retirement

Posted 8 days ago

Job description

Join a team where your engineering work accelerates how machine learning is built, governed, and delivered across JPMorgan Chase. You will help create platform capabilities that make it easier for teams to move from ideas to production with confidence. If you enjoy building scalable systems and improving developer experience, this role offers meaningful impact and career growth.
As a Software Engineer III at JPMorgan Chase within the Corporate Artificial Intelligence and Machine Learning Data Platforms team, you will build and enhance products that support the machine learning lifecycle-spanning model operations, data development (such as processing and data annotation), and governance tooling. You will collaborate closely with engineers, system architects, product managers, data scientists, and research partners to deliver reliable, secure, and user-friendly platform services.
Job responsibilities
  • Build and enhance platform capabilities for model registries, feature registries, promotion policies, and governance tooling
  • Design and deliver services for data preparation, annotation workflows, lineage, and auditability
  • Develop cloud-native microservices and application programming interfaces to support scalable model delivery and operations
  • Create large language model-powered capabilities (prompt design, agent workflows, retrieval) to deliver grounded, reliable outcomes
  • Produce architecture and design artifacts and ensure implementations meet performance, resiliency, and security constraints
  • Use company-approved AI-assisted development tools to improve quality and speed, validating outputs via reviews, testing, and secure coding practices
  • Analyze telemetry and user feedback; build reporting and metrics to drive continuous improvement
  • Identify hidden issues and patterns in systems and data; improve code health, observability, and platform architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Experience with modern architecture patterns (such as microservices, reactive architectures, event-driven architectures)
  • Experience developing and deploying large language model-powered solutions using prompt design, agent workflows, tool integration, and retrieval-augmented generation
  • Programming experience in at least two modern languages or frameworks (such as Python, Java, JavaScript, React, Node.js)
  • Experience building and consuming RESTful application programming interfaces and tuning performance in large-scale applications
  • Experience with cloud platforms and containerization or orchestration (such as Docker and Kubernetes)
  • Experience with relational and non-relational databases (such as PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra)
  • Experience with engineering practices including refactoring, design patterns, test-driven development, continuous integration and delivery, and application security
  • Hands-on experience using company-approved AI-assisted software development tools, with the ability to validate and refine outputs for correctness, performance, and security
Preferred qualifications, capabilities, and skills
  • Experience with HTML and CSS and at least one modern JavaScript framework (such as React, Vue, or Angular)
  • Experience or knowledge of model governance and data governance
  • Experience building internal platforms or developer experience tooling that supports machine learning delivery and operations
 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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