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

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Build and maintain the pipelines that move data from deployed sensors → annotation → model ... Field Engineering Support * Contribute to custom Visia implementations for enterprise customers ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/yr

Standing up human transcription, annotation and other operations, largely overseas, that make it ... engineering and research teams at frontier labs to translate their exact specifications into ...

Snorkel AI

Head of Forward Deployed Engineering

New York, NY · On-site +1

$268K - $403K/yr

We work with some of the world's largest organizations to empower scientists, engineers, financial ... Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs ...

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 ...

Alice

Freelancer - GenAI Experts

New York, NY · Remote

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 ...

Triomics

Forward Deployed ML Engineer

New York, NY · On-site

$170K - $190K/yr

You own the full cycle: understanding the customer's data dictionary, studying the source clinical ... Work with the clinical annotation team to build gold-standard datasets and resolve edge cases

Turing

Mechanical Engineer (Manufacturing)

Manhattan, NY · Remote

$100 - $150/hr

Comfortable using web-based tools for annotation and review. Perks of freelancing with Turing ... Trade secrets or internal company or university data. * Specific client information or case details.

Turing

Industrial Engineer (Manufacturing)

Manhattan, NY · Remote

$100 - $150/hr

Design and solve real-world industrial and production engineering problems to test AI reasoning ... Comfortable using web-based tools for data review and annotation. Perks of freelancing with Turing ...

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.

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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:

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Data Annotation Engineer jobs near you

Senior Data Management Professional - Data Product Owner (Data AI)

Bloomberg LP

New York, NY • On-site

$94K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Key responsibilities

  • Own and evolve scalable frameworks and strategies for instruction and evaluation task design to ensure datasets are fit-for-purpose for Generative AI behaviors.

  • Align data frameworks and evaluation strategies with product objectives to support trustworthy, actionable intelligence.

  • Act as the primary liaison between Product, Engineering, and Data teams to translate technical complexities into actionable insights.

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior Data Management Professional - Data Product Owner (Data AI)
Location
New York
Business Area
Data
Ref #
10052509
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
What's The Role:
The Data Product Owner serves as the strategic leader responsible for transforming business operations through data and AI. By aligning product, engineering, and operational partners around a shared vision, they define and deliver the data capabilities that enable intelligent automation, operational scale, and continuous improvement.
This role goes beyond managing requirements to shape how the organization uses data as a strategic asset. Through workflow optimization, process simplification, and the thoughtful application of AI, the Data Product Owner drives solutions that increase efficiency, improve quality, and create sustainable business value.
Success in this role is measured by the organization's ability to operationalize data and AI at scale, turning complex business challenges into streamlined, reliable, and measurable outcomes.
We'll Trust You To:
  • Own and evolve scalable frameworks and sophisticated strategies for instruction and evaluation task design, ensuring datasets remain fit-for-purpose for complex Generative AI behaviors.
  • Align data frameworks and evaluation strategies with overarching product objectives to guarantee trustworthy, consumable intelligence that supports actionable user decisions.
  • Act as the primary multi-functional liaison, driving alignment between Product, Engineering, and Data teams to translate technical complexities into actionable insights.
  • Partner with multi-functional teams to define product-aligned requirements and reusable evaluation rubrics, ensuring outcomes meet rigorous Data Quality standards.
  • Drive the strategic evolution of our evaluation infrastructure by pioneering reusable, automated frameworks that consistently accelerate multi-functional product delivery.

You'll Need to Have:
  • Bachelor's degree or equivalent experience in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
  • A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling, and random sampling
  • Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results to partners in a clear, concise manner
  • Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
  • Past project/experience analyzing financial datasets or demonstrable experience working on financial market concepts
  • A logical approach to problem-solving with the ability to resolve complex annotation and data-architectural challenges
  • Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI
  • Excellent stakeholder management and project leadership skills, with a demonstrable ability to evaluate design trade-offs and seamlessly translate technical complexities between Engineering, Product, and Data teams.
  • Experience in data management concepts such as data quality, data modeling, and data engineering

We'd Love to See:
  • DAMA CDMP or DCAM certifications
  • Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products
  • Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection
  • Past project experience using Agile/Scrum methodologies to manage complex data lifecycles
  • Experience customizing or developing annotation interfaces using Javascript or HTML.

Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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Benefits

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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