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Data Annotation Engineer Jobs in Hackensack, NJ (NOW HIRING)

... data pipelines are automated, reproducible, and performant at scale. Key Responsibilities * Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out ...

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... data pipelines are automated, reproducible, and performant at scale. Key Responsibilities * Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out ...

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of ... frameworks, annotation guidelines, or quality rubrics for AI/ML systems * Demonstrated data ...

Support data annotation, curation, and quality control processes * Summarize findings into ... Prior work in model evaluation, prompt engineering, or safety analysis * Regional expertise or ...

Run data analysis on our dataset to design potential rules for annotation. * Improve the architecture of data modeling and data tooling in partnership with Engineering and cross-functional business ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

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As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Apply Early

ML Engineer

New York, NY · On-site

$150K - $300K/yr

We're an AI laboratory dedicated to providing engineers with the tools they need to solve the world ... Is not above any task: up to label the data yourself, write the annotation tooling, or hand-tune a ...

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Data Annotation Engineer information

See Hackensack, NJ salary details

$56.2K

$160.8K

$214.9K

How much do data annotation engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data annotation engineer in Hackensack, NJ is $160,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $213,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

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 popular job titles related to Data Annotation Engineer jobs in Hackensack, NJ? For Data Annotation Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Hackensack, NJ look for? The top searched job categories for Data Annotation Engineer jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Data Annotation Engineer jobs? Cities near Hackensack, NJ with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Hackensack, NJ as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,828 per year, or $77.3 per hour.

Staff MLOps Engineer

NBCUniversal

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Be an early applicant


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking a Staff MLOps Engineer with experience building and scaling infrastructure for large 2D and 3D media datasets. You will be responsible for the "backbone" of our machine learning lifecycle, ensuring that our data pipelines are automated, reproducible, and performant at scale.

Key Responsibilities

  • Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out infrastructure and training requirements.
  • Pipeline Automation: Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models.
  • Data Lifecycle Management: Implement versioning and storage strategies for massive 2D/3D datasets to ensure reproducibility and high-throughput access.
  • Monitoring & Observability: Deploy and manage systems for monitoring model performance and data drift in production environments.
Qualifications
  • Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
  • Professional Experience: Proven experience as an MLOps Engineer in a fast-paced environment in applied machine learning.
  • Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
  • Technical Proficiency:
    • Core Tools: Fluency with Python, Git, and the Unix shell.
    • Containerization & Orchestration: Deep familiarity with Docker, Kubernetes, and workflow orchestrators (e.g., Airflow, Prefect, or Kubeflow)
    • Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack and a Git server.
    • Strong Mathematical Background: Preferred for understanding the resource demands of 3D data transformations.
  • Attributes:
    • Conscientiousness: High attention to detail regarding system reliability and data security.
    • Systems Thinking: Ability to translate abstract ML requirements into concrete, scalable cloud or on-prem infrastructure

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $220,000k – 260,000 + 10%  (bonus eligibility). 


Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.