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Data Annotation Engineer Jobs in New Jersey (NOW HIRING)

AmNet Services, Inc.

NJ · On-site

Our founders are hardcore telecommunications engineers with combined 200 + years of experience in ... Whether an off-the-shelf or custom solution is needed, we'll create a solution and push the data on ...

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Data Annotation Engineer information

See New Jersey salary details

$52.3K

$149.7K

$200K

How much do data annotation engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data annotation engineer in New Jersey is $149,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in New Jersey?

For Data Annotation Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in New Jersey look for?

The top searched job categories for Data Annotation Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Data Annotation Engineer jobs?

Cities in New Jersey with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer 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 $149,708 per year, or $72 per hour.

Software Engineer III - AI/ML Platform Engineer

JP Morgan Chase

Jersey City, NJ

Full-time

Medical, Retirement

Posted 3 days ago

New

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

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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