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Data Annotation Engineer Jobs in Bergenfield, NJ

YO AI Labs

AI Data Scientist - Remote

Manhattan, NY · On-site

$83 - $131/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Encord

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr (+ commission)

You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

Encord

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr

You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

YO AI Labs

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation

Distyl AI

Research Engineers, Data

New York, NY · On-site

$150K - $250K/yr

Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in ... Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and ...

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

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 Sep 4, 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 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 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?

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What cities near Bergenfield, NJ are hiring for Data Annotation Engineer jobs?

Cities near Bergenfield, NJ with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Bergenfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $158,466 per year, or $76.2 per hour.

AI Training Specialist - Mechanical Engineering Domain Expert

BAM Ventures

Manhattan, NY • On-site

$70 - $90/hr

Other

Posted 3 days ago

New

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As an AI Training Specialist specializing in Mechanical Engineering, you will play a critical role in enhancing the performance of AI models through data annotation, labeling, and validation. You will leverage your domain expertise to ensure the accuracy and relevance of AI-generated content across various projects.

Key Responsibilities
  • Train and improve AI models by annotating and labeling data specific to mechanical engineering.
  • Review and validate AI-generated content for accuracy and domain relevance.
  • Provide expert insights to enhance AI model performance in the mechanical engineering field.
  • Collaborate with cross-functional teams on diverse AI training projects.
  • Ensure high-quality data for machine learning applications to drive model effectiveness.
Required Skills and Qualifications
  • Bachelor's degree in Mechanical Engineering or a related field.
  • Strong understanding of mechanical engineering principles and applications.
  • Experience with data annotation and AI training processes.
  • Excellent attention to detail and quality assurance skills.
  • Proficient in using annotation tools and software.
Preferred Qualifications
  • Master's degree in Mechanical Engineering or a related field.
  • Experience in AI/ML development and understanding of machine learning frameworks.
  • Familiarity with data privacy and ethical considerations in AI training.
What We Offer

At Rise Data Labs, we value our team members and offer competitive compensation, flexible working hours, and opportunities for professional growth in the rapidly evolving field of AI. Join us to make a significant impact in the realm of AI training and development.

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About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014

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