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

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.

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.

You are the engineering-focused counterpart to the commercial team, partnering with Account ... from data preparation and annotation through model training, evaluation, and deployment

You are the engineering-focused counterpart to the commercial team, partnering with Account ... from data preparation and annotation through model training, evaluation, and deployment

... annotation, production feedback, and difficult edge cases while protecting sensitive data ... Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling ...

New

... annotation, production feedback, and difficult edge cases while protecting sensitive data ... Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling ...

New

This is an engineering-focused role centered on building the workflows, infrastructure, and ... Improve data processing , annotation workflows , and ML system efficiency * Deploy and maintain the ...

They will be expected to perform data analytical work, comprehend complex recommendation systems ... engineering, annotation, and/or content labeling and analysis * Expertise in developing and ...

Showing results 41-60

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 Aug 14, 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 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 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 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 August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $160,828 per year, or $77.3 per hour.

Data Scientist (Remote)

Zenlaw

New York, NY • On-site, Remote

Contractor

Re-posted 6 days ago


Job description

About us
We're on a mission to bring contracts and any other long documents to the 21st century!
We're using AI to make these documents intelligible, abstracting what matters in them and detailing their content so that humans can manipulate them easily.
We've been working on this since the beginning of 2021, and have applications in Real Estate, Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as possible.
Position Description
At Zenlaw, we rely on data to guide our initiatives. This data helps to mold both our long-term strategy and our day-to-day operations. As a Data Scientist, you will be working with our engineering team to model complex problems and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and working on our ground-breaking AI models.
Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see fit while relying on your colleague's previous experience and expertise.
As a Data Scientist, you will:
  • Research new techniques and frameworks for NLP tasks
  • Design new experiments for data abstraction and categorization of sentences/paragraphs
  • Work with our lawyers to review initial results and implement pre and post-processing scripts to improve the accuracy of models
  • 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 partners
  • Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
We are looking for a passionate Data Scientist with:
  • Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
  • 2+ years of industry work experience as an analyst, data scientist, or equivalent
  • Experience with training and deploying NLP deep learning models
  • Exceptional skills in Python, SQL, and any other programming language for data analysis and visualization.
  • Excellent written and oral English communication skills with experience evangelizing the value of leveraging data in making both strategic and product decisions
  • Experience with reporting systems and data pipeline architecture.
  • Demonstrated problem-solving experience with the ability to break down complex and unstructured problems into layman's terms
  • An online sample of your analytical and/or data visualization abilities is greatly appreciated.
    Nice to have:
    • Experience with Golang, and/or Git
    • Experience with SpaCy, Transformers, PyTorch, or similar NLP framework
    • Experience working with ontologies and knowledge graphs
    • Experience in MLOps
    • Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field
You care about:
  • Ownership: you easily communicate ideas, implement them, and take responsibility for your actions
  • Helping others: sharing knowledge with your colleagues is on top of your priorities
  • Fast-paced startups: you love adapting to different situations, and you know how and when to iterate fast and with high quality
  • Our product: you believe in our vision, and are willing to give your best to build the future of Zenlaw
What we offer you:
  • Entrepreneurial responsibility and flat-hierarchies
  • Ownership of your work
  • Position 100% remote
  • Open-minded variety of nationalities
  • A collaborative, open workplace
  • Team Events

This is a remote position that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship.