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

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

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.

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.

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

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 ...

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Experience in managing high-volume data annotation sourcing programs * Demonstrated ability to ...

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

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

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

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... You will partner closely with product managers, engineers, and data scientists to ensure Latent ...

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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 Sep 4, 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 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 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:

AI Data Scientist - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 21 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.