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Data Tagging Jobs in Edison, NJ (NOW HIRING)

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

Experience building and managing overseas or outsourced teams for data tagging, annotation, and QA, with a track record of maintaining quality and throughput across time zones. * Deep ownership of ...

Riskified

Data Integrations Engineer

New York, NY · On-site

$125K - $139K/yr

Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering, etc.) * Combine technical, business, and analytical objectives to come up ...

Riskified

Data Integrations Engineer

New York, NY · On-site +1

$125K - $139K/yr

Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering, etc.) * Combine technical, business, and analytical objectives to come up ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A English with Dialect from (Australian, United Kingdom and Canadian) speaker ...

Chloe

HCP Global Omnichannel Lead

Morristown, NJ · Hybrid

$150K - $220K/yr

Collaborate with Digital, Data, and Tech teams to implement CRM, consent, tagging, and tracking infrastructure. * Support Zones in orchestrating personalized HCP journeys across owned, earned, and ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... parsing, tagging, analyzing, mapping, managing, and visualizing large sets of data Must have experience in using Python or similar language for conducting data manipulation and data analysis ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... parsing, tagging, analyzing, mapping, managing, and visualizing large sets of data Must have experience in using Python or similar language for conducting data manipulation and data analysis ...

Omnicom

Manager, Client Operations

New York, NY · On-site

... data tagging and classification in MT & MO systems (based business/reporting needs and rules) Leverage understanding of E2E process (and excel) to communicate and translate our automation needs to ...

Omnicom

Manager, Client Operations

New York, NY

... data tagging and classification in MT & MO systems (based business/reporting needs and rules) Leverage understanding of E2E process (and excel) to communicate and translate our automation needs to ...

Omnicom

Data Science and Analytics_05

New York, NY · On-site

Support website and media tagging, implementation, and QA. * Extract and analyze data from various sources to identify trends and insights. * Communicate key findings and observations to stakeholders ...

Omnicom

Data Science and Analytics_05

New York, NY · Hybrid

Support website and media tagging, implementation, and QA. * Extract and analyze data from various sources to identify trends and insights. * Communicate key findings and observations to stakeholders ...

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All JobsData Tagging JobsData Tagging Jobs in Edison, NJ

Data Tagging information

See Edison, NJ salary details

$56.9K

$102.7K

$140.3K

How much do data tagging jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data tagging in Edison, NJ is $102,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $112,300.00 per year, depending on experience, location, and employer.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What are popular job titles related to Data Tagging jobs in Edison, NJ?

For Data Tagging jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Tagging jobs in Edison, NJ look for?

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What cities near Edison, NJ are hiring for Data Tagging jobs?

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Data Tagging jobs near you
Infographic showing various Data Tagging job openings in Edison, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,729 per year, or $49.4 per hour.

Data Ops Lead

Neon Mobile, Inc

New York, NY • On-site, Remote

$150K - $190K/yr

Full-time

Re-posted 20 days ago

Job description

About Neon
Many large companies make billions each year by monetizing Americans' personal data. At Neon, we're finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data. We're backed by Lightspeed, Upper90, Upfront Ventures, and other cool investors.
About the role
Your mission is to turn Neon's raw consumer audio streams into the cleanest, most reliable training data on the market, and to build the commercial and operational engine that gets it into the hands of the world's leading AI labs.
As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing community of 500,000+ mobile users and delivers production-ready datasets to frontier labs. In practice, that means three things above all:
  • Structuring and managing the data deals that turn our recordings into revenue
  • Holding every dataset to a quality bar that keeps buyers coming back
  • Standing up human transcription, annotation and other operations, largely overseas, that make it all possible

You'll work directly with our CEO on commercial priorities and help shape each deal, interface with buyer-side engineering and research teams at frontier labs to translate their exact specifications into deliverable dataset plans, and partner with internal engineering and external vendors to make sure the pipeline supports what we've sold. This is a foundational role: the datasets and processes you build are the product we sell.
You have...
  • Authorization to work in the US.
  • 5+ years of experience building and scaling data pipelines for AI/ML applications, with significant time spent on audio, speech, or multimodal data.
  • A track record of structuring and delivering against data or dataset agreements with external partners: taking their requirements, turning them into clear specifications, and owning delivery end to end.
  • Experience building and managing overseas or outsourced teams for data tagging, annotation, and QA, with a track record of maintaining quality and throughput across time zones.
  • Deep ownership of data quality: designing QA processes, defining acceptance criteria, and catching problems before a customer ever sees them.
  • Enough technical fluency to be credible on both sides of a deal. You understand digital audio fundamentals (sample rates, VAD, multichannel formats), can reason about how pipelines are built, and know what "good" looks like, even if you're not writing every line of code yourself.
  • A "Founder's Mentality." You're comfortable building from zero and making high-stakes calls with incomplete information.

Bonus points
  • A background working with audio data in some capacity.
  • Direct experience with training data for TTS, ASR, speaker ID, or full-duplex conversational models.
  • Familiarity with the modern audio stack (Librosa, FFmpeg, SoX, torchaudio) and cloud data infrastructure (S3, Redshift, BigQuery, or equivalent).
  • An understanding of how high-quality, speaker-separated audio gets captured (for example, via WebRTC-based recording tools).
  • Experience with active learning loops, human-in-the-loop QA systems, or corpus stratification for balanced dataset design.
  • Prior experience leading a data or infrastructure team, including hiring and mentoring engineers.

Apply