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Data Labelling Jobs in Newark, NJ (NOW HIRING)

Intuit

ML Engineer 2

New York, NY · On-site

$140K - $190K/yr

... data labelling, data processing, training, testing and deploying) LLMs & GenAI applications - Experience in developing application backed by LLMs (GenAI) like RAG/ agentic workflows Programming and ...

Snorkel AI

Lead Data Scientist

New York, NY · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models. Pay Transparency Notice: Depending on your work location, the ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

You will define what good data is - the labeling rubrics, ontologies, schemas, sampling philosophy, and acceptance criteria that every dataset we ship is measured against. You decide what goes in or ...

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll do the work directly, labeling and reviewing classification data and running QC, but you won't just execute. You'll bring an engineer's mindset to it: when a task is repetitive, you script it ...

Middesk

Data Scientist

New York, NY · On-site

$175K - $210K/yr

With our proprietary identity data and deep domain expertise, we're in a strong position to expand ... Improve signal & labeling Use a mix of heuristics, weak supervision, and modern AI tools (including ...

Middesk

Lead Data Scientist

New York, NY · On-site

$210K - $250K/yr

Middesk is building the data and intelligence infrastructure that helps businesses work together ... Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and ...

Bloomberg LP

Product Manager - Enterprise Data

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data labeling, annotation, or quality pipelines at scale Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the ...

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All JobsData Labelling JobsData Labelling Jobs in Newark, NJ

Data Labelling information

See Newark, NJ salary details

$48.1K

$172.6K

$254.6K

How much do data labelling jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data labelling in Newark, NJ is $172,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,800.00 per year, depending on experience, location, and employer.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.

What are popular job titles related to Data Labelling jobs in Newark, NJ?

For Data Labelling jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Data Labelling jobs in Newark, NJ look for?

The top searched job categories for Data Labelling jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Data Labelling jobs?

Cities near Newark, NJ with the most Data Labelling job openings:

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Newark, NJ as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% In-person job distribution, with an average salary of $172,563 per year, or $83 per hour.

ML Engineer 2

Intuit

New York, NY • On-site

$140K - $190K/yr

Full-time

Re-posted 13 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

88th of 244 rated software companies

Job description

Apply software development practices to design, implement, and support individual software projects. Work on problems of moderate scope and complexity where analysis of situations or data requires a review of multiple factors of the overall product and service. Review product requirements and architecture to understand and implement software projects. Develop highly scalable, secure and efficient software that support critical functions of Intuit's engineering operations and/or Intuit's leading commercial software products. Working with Senior and Staff Engineers, collect and analyze requirements from Product Managers. In an Agile/SCRUM environment, develop, define and write code to implement algorithms to develop software application features in compliance with business requirements. Write unit test case and test code for validity. Perform bug fixes by analyzing discrepancies that are found by the Quality Assurance team. Deploy software code for automated testing. Develop code for review/correction by senior level engineers, and produce production-ready code. Design, code, test, and maintain assigned software deliverables, and represent the customer perspective during software development activities. Contribute to the improvement of product development methods and tools.

Responsibilities

Use GenAI (LLMs/Agents) to develop rapid prototypes and production-ready solutions. Architect data pipelines (ingestion, transformation, persistence) and workflow pipelines (Kubeflow) to develop scalable solutions.

Qualifications

Education Requirements: MS, or PhD in Computer Science, Machine Learning, or Data Engineering Position requires: Skills: 4+ years of industry experience (Example) Object oriented programming - algorithmic problem solving for building modular and maintainable software systems Systems architecture - Design patterns to design scalable modular systems Cloud infrastructure - Experience working with cloud platforms for development like AWS (s3/ Sagemaker/ EC2 instance) Container orchestration platforms - Experience with containerization and container orchestration platforms for deployment, scaling and management of applications and machine learning (ML) workflows (ex: Kubernetes) Data engineering - Experience in processing, transforming and managing raw data to support analytics and machine learning workflows Canonical knowledge of ML basics - Strong understanding of ML concepts and lifecycle processes for ML-based solutions (training, evaluation, validation, etc.) Applied ML - Practical experience in building end-to-end M/ Deep leaning application (data labelling, data processing, training, testing and deploying) LLMs & GenAI applications - Experience in developing application backed by LLMs (GenAI) like RAG/ agentic workflows Programming and data tools (ex: scientific libraries) - Experience using Python (Pandas, Numpy, etc.) and related technologies for data processing, visualization and ML frameworks
Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $140,500 - $190,000
New York $136,000- $184,000
San Diego, CA $127,000- $172,000Employment Type: Full-Time

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