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Data Annotation Engineer Jobs in Bergenfield, NJ

Services Data Lead

New York, NY · On-site

$75 - $100/hr

Make it better, faster, and (with the help of our engineering team) more automated. • Direct a ... annotation component , including directing distributed specialists to a quality bar. • You've ...

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.

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Work at the nexus of design, product, engineering, and service partners. You'll liaise with ... Real experience running data operations with a human-in-the-loop or annotation component ...

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.

Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... Improve data processing , annotation workflows , and ML system efficiency * Deploy and maintain the ...

New

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

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 ...

... web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset ...

... web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset ...

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 ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

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 ...

Showing results 41-60

Data Annotation Engineer information

See Bergenfield, NJ salary details

$55.3K

$158.5K

$211.7K

How much do data annotation engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data annotation engineer in Bergenfield, NJ is $158,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $210,600.00 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 Bergenfield, NJ? For Data Annotation Engineer jobs in Bergenfield, NJ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Bergenfield, NJ look for? The top searched job categories for Data Annotation Engineer jobs in Bergenfield, NJ are:
What cities near Bergenfield, NJ are hiring for Data Annotation Engineer jobs? Cities near Bergenfield, NJ with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Bergenfield, NJ as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 53% In-person, 7% Hybrid, and 40% Remote job distribution, with an average salary of $158,466 per year, or $76.2 per hour.

Services Data Lead

Project Healthy Minds

New York, NY • On-site

$75 - $100/hr

Part-time

Posted 18 days ago


Job description

About Project Healthy Minds
Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world's first digital marketplace for finding mental health services that are right for you.
To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions.
We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us.
Learn more at projecthealthyminds.com and @projecthealthyminds on social.
About The Role
WHAT WE'RE LOOKING FOR
We're hiring a Services Data Lead to build a new set of mental health services for our platform, on a focused six-month engagement.
We already have a schema and a curation pipeline, but are looking to upgrade both as we expand the depth and breadth of services we list on our platform.
You'll consider the tradeoffs for the information users want and the challenges of acquiring/keeping it fresh, overseeing the candidacy -> screening -> tagging pipeline, direct a small bench of specialists, and work across product, engineering, and our service partners to measurably improve the platform's offerings. You'll leave behind a documented, repeatable process, not just a better dataset. (We'll walk you through the specific scope and priorities during the process.)
This is a great opportunity for someone passionate about mental health to help expand our platform offering and upgrade our operations in the process.
ENGAGEMENT & COMPENSATION
• Term: Six months with defined scope and deliverables. Extension or conversion possible but not guaranteed.
• Hours: ~32h/week preferred.
• Location: Fully remote within the US.
• Documentation and the playbook are important deliverables
• Expect a short paid work sample. We'll share some real-world examples of what we're working to solve for.
• Reports to the VP of Product.
WHAT YOU'LL DO
Steward and evolve the services data schema & taxonomy. It's poised to expand and change. You'll provide input about what to add, what to shift, and what these changes costs us to source and maintain - with judgment about how the data actually gets consumed downstream.
Own and iterate the curation pipeline. Sourcing, screening, and tagging. Make it better, faster, and (with the help of our engineering team) more automated.
Direct a small bench of data specialists. Set the quality bar, write the SOPs, and oversee the team to build out a substantial batch of services.
Work at the nexus of design, product, engineering, and service partners. You'll liaise with multiple departments to identify the highest-value fields, refine candidacy review processes, and collaborate on how data is presented to users in the platform.
Advise on internal tooling. You'll be the sharpest user of our admin, ingestion, dedup, and QA workflows - work with our team to identify the most impactful improvements we can make.
Document the playbook. Transferable and clear - good enough that whoever inherits this doesn't have to reverse-engineer your thinking.
WHAT YOU'LL BRING
Must-Haves:
A working understanding of healthcare services data - ideally mental health specifically. You'll need a sense for what consumers need to know prior to making a decision, where that data comes from, and how frequently it changes.
• Strong data-schema and data-modeling judgment. You've evolved schemas that survived contact with reality, and you have opinions about what not to add. Fluent in Postgres/SQL.
• Instinct for how data fits into a product - you reason from who consumes the data backward to what and how to supply it.
• Real experience running data operations with a human-in-the-loop or annotation component, including directing distributed specialists to a quality bar.
• You've owned KPIs for data accuracy and freshness - and can walk us through how you moved them.
• Quality-systems and taxonomy thinking; you write the SOP, you don't just follow it.
• Comfortable working across product, engineering, and external partners.
• Comfortable moving fast with limited scaffolding.
Nice-to-Haves:
• AI- / LLM-assisted curation workflows.
• HL7, FHIR, or other health-data interoperability standards.
• Experience building or maintaining a services dataset or provider directory
The hourly rate for this role is between $75 and $100, depending on experience, skills, and other relevant considerations.
Due to the high volume of applications received, only those selected for an interview will be contacted.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.