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

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

Support data annotation, curation, and quality control processes * Summarize findings into ... Prior work in model evaluation, prompt engineering, or safety analysis * Regional expertise or ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

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 ...

Forhyre

Prompt Engineers

New York, NY

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.

Forhyre

Prompt Engineers

New York, NY

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.

Eagle

ML Engineer

New York, NY · On-site

$150K - $300K/yr

We're an AI laboratory dedicated to providing engineers with the tools they need to solve the world ... Is not above any task: up to label the data yourself, write the annotation tooling, or hand-tune a ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

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 ...

MLabs

Research Crawling Engineer

New York, NY · Remote

$100K/yr

... 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 ...

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K/yr

... 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 ...

exacare ai

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 ...

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

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:
Data Annotation Engineer jobs near you

Freelancer - GenAI Experts

Alice

New York, NY • On-site, Remote

Full-time

Posted 2 days ago

Job description

Description
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle.
We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts-high-stakes, project-based work for the "best of the best" specialists in the industry.
Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required.
The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier.
The invitation is open: Come join us at the tea party.
About the Position
We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas-and we're looking for individuals who excel in one or both:
Focus Area 1: Adversarial Analysis
Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights.
Focus Area 2: Creative Prompt Design
Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts.
Key Responsibilities
Adversarial Analysis:
  • Design adversarial prompts to test AI systems across multiple modalities
  • Identify, categorize, and document model weaknesses or unsafe outputs
  • Support data annotation, curation, and quality control processes
  • Summarize findings into structured reports or data templates

Creative Prompt Design:
  • Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances
  • Research online behaviors of threat actors to inform realistic prompt design
  • Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism
  • Adapt prompts for multiple languages and dialects where applicable

Requirements
  • Proven experience with Generative AI models (direct technical experience not required)
  • Understanding of risk taxonomies (e.g., harm categories, policy tiers)
  • Strong attention to detail and organizational capabilities
  • Ability to manage multiple tasks simultaneously and meet deadlines
  • Ability to balance creativity with policy sensitivity

Language Requirements
For Creative Prompt Design focus: We are actively seeking native speakers in the following languages:
  • English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
  • Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts.

Preferred Qualifications
  • Strong creative writing background (journalism, fiction, or linguistics)
  • Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video)
  • Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies
  • Prior work in model evaluation, prompt engineering, or safety analysis
  • Regional expertise or cultural fluency in specific geopolitical areas
  • Proficiency in one or more non-English languages

All applicants will be required to complete a screening exam and background check.

Apply