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

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

Standing up human transcription, annotation and other operations, largely overseas, that make it ... engineering and research teams at frontier labs to translate their exact specifications into ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY

... 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 ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY

... 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 ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY

... 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 ...

Datavant

Clinical AI Data Specialist

New York, NY

The technical work -- annotation at scale, prompt and rule iteration, and label-quality analysis ... engineering background is not required. What You Will Do: * Annotate medical records for AI ...

Instagram

Product Content Engineer

New York, NY · On-site +1

$162K/yr

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 ...

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

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

exacare ai

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... data processing, annotation workflows, and ML system efficiency • Deploy and maintain the ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Hackensack, NJ

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 Jul 21, 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.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

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 prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

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:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Hackensack, NJ as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $160,828 per year, or $77.3 per hour.
Senior Data Management Professional - Data Product Owner (Data AI)

Senior Data Management Professional - Data Product Owner (Data AI)

Bloomberg LP

New York, NY • On-site

$94K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies

Job description

Senior Data Management Professional - Data Product Owner (Data AI)
Location
New York
Business Area
Data
Ref #
10052509
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
What's The Role:
The Data Product Owner serves as the strategic leader responsible for transforming business operations through data and AI. By aligning product, engineering, and operational partners around a shared vision, they define and deliver the data capabilities that enable intelligent automation, operational scale, and continuous improvement.
This role goes beyond managing requirements to shape how the organization uses data as a strategic asset. Through workflow optimization, process simplification, and the thoughtful application of AI, the Data Product Owner drives solutions that increase efficiency, improve quality, and create sustainable business value.
Success in this role is measured by the organization's ability to operationalize data and AI at scale, turning complex business challenges into streamlined, reliable, and measurable outcomes.
We'll Trust You To:
  • Own and evolve scalable frameworks and sophisticated strategies for instruction and evaluation task design, ensuring datasets remain fit-for-purpose for complex Generative AI behaviors.
  • Align data frameworks and evaluation strategies with overarching product objectives to guarantee trustworthy, consumable intelligence that supports actionable user decisions.
  • Act as the primary multi-functional liaison, driving alignment between Product, Engineering, and Data teams to translate technical complexities into actionable insights.
  • Partner with multi-functional teams to define product-aligned requirements and reusable evaluation rubrics, ensuring outcomes meet rigorous Data Quality standards.
  • Drive the strategic evolution of our evaluation infrastructure by pioneering reusable, automated frameworks that consistently accelerate multi-functional product delivery.

You'll Need to Have:
  • Bachelor's degree or equivalent experience in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
  • A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling, and random sampling
  • Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results to partners in a clear, concise manner
  • Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
  • Past project/experience analyzing financial datasets or demonstrable experience working on financial market concepts
  • A logical approach to problem-solving with the ability to resolve complex annotation and data-architectural challenges
  • Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI
  • Excellent stakeholder management and project leadership skills, with a demonstrable ability to evaluate design trade-offs and seamlessly translate technical complexities between Engineering, Product, and Data teams.
  • Experience in data management concepts such as data quality, data modeling, and data engineering

We'd Love to See:
  • DAMA CDMP or DCAM certifications
  • Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products
  • Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection
  • Past project experience using Agile/Scrum methodologies to manage complex data lifecycles
  • Experience customizing or developing annotation interfaces using Javascript or HTML.

Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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