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

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Data Scientist

New York, NY · Remote

$70 - $100/hr

Guide research and engineering teams on data science methodology , statistical inference , and ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Guide research and engineering teams on data science methodology , statistical inference , and ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Guide research and engineering teams on data science methodology , statistical inference , and ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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 ...

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Partner with engineering on automated validation (schema completeness, duplicates, time sync ... Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ...

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

AI Researcher

New York, NY · Remote

$70 - $100/hr

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Data Annotation Engineer information

See Edison, NJ salary details

$53.3K

$152.7K

$203.9K

How much do data annotation engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data annotation engineer in Edison, NJ is $152,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $202,900.00 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 Edison, NJ? For Data Annotation Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Edison, NJ look for? The top searched job categories for Data Annotation Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Annotation Engineer jobs? Cities near Edison, NJ with the most Data Annotation Engineer job openings:

Network Engineer - Data Annotation

Mercor

New York, NY • Remote

$50 - $70/hr

Full-time

Posted 21 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.