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

Solutions Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

You are the engineering-focused counterpart to the commercial team, partnering with Account ... from data preparation and annotation through model training, evaluation, and deployment

Product Manager - Enterprise Data

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with some programming and data management skills. You'll work alongside seasoned industry ... annotation, or quality pipelines at scale Salary Range = 140,000 - 295,000 USD Annual + Benefits ...

New

Machine Learning Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

... 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 ...

They will be expected to perform data analytical work, comprehend complex recommendation systems ... engineering, annotation, and/or content labeling and analysis * Expertise in developing and ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Fullstack Engineer, RL Environments

New York, NY · On-site

$130K - $500K/yr

  • Medical

  • Dental

  • Vision

Experience building tooling for data labeling, annotation, or human-in-the-loop AI workflows. * Background in design systems, developer-facing APIs, or internal platform engineering. * Exposure to AI ...

Information Technology

New York, NY · Hybrid

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... annotation pipelines; * Experience working with version control systems and solid understanding of CI/CD pipelines; * Strong expertise in data architecture, data modeling, and modern engineering ...

Engineering Manager, Applied AI

New York, NY · On-site

$250K - $400K/yr

  • Medical

  • Dental

  • Vision

We're a leading AI data company, building the layer between human expertise and frontier models ... annotation products, and emerging multimodal capabilities. You'll lead a team of engineers, partner ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... Partner with Product and Engineering to evolve internal tooling, automation, and operational ...

Showing results 41-60

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 Aug 14, 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 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 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 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:

Solutions Engineer

Encord

New York, NY • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 hours ago


Job description

About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting-edge of AI.
You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator.
What you'll do
  • Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win
  • Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path
  • Architect, build, and deliver highly-technical, customised product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems
  • Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations
  • Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data
  • Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs)
  • Serve as the "voice of the customer" to our Product and Engineering teams, channelling detailed, technical feedback from complex enterprise clients to help shape the product roadmap

Who we're looking for
  • Coding experience - hands-on experience building and debugging scripts and solutions using Python or other scripting languages; experience with SDKs is desirable
  • Excellent communication and presentation skills - you can confidently command a room of engineers and just as easily simplify complex concepts for senior decision-makers
  • Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
  • A "hacker mindset" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles
  • A solution-driven and customer-obsessed mindset - while you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success
  • Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord
  • Bonus: hands-on experience working with multimodal AI, sensor-fusion, physical AI, LiDAR data, or in the robotics industry

Experience requirements
  • 1 - 5+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
  • Proficiency in Python, with the ability to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred
  • Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows
  • Solid understanding of machine learning concepts and the ML development lifecycle - from data preparation and annotation through model training, evaluation, and deployment
  • Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in a complex enterprise sales environment
  • Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders
  • Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process
  • Prior experience in a high-growth start-up or scale-up strongly preferred
  • Bonus: Familiarity with multimodal data formats, LiDAR, robotics sensor data, or physical AI applications

Why Encord
  • Competitive salary, commission, and meaningful equity in a high-growth start-up
  • Clear, accelerated growth opportunities as the company scales rapidly
  • Strong in-person culture: 4 days/week
  • Flexible PTO to fully recharge
  • Annual learning & development budget
  • Comprehensive health, dental, and vision coverage
  • Frequent travel opportunities across the U.S., London, and Europe
  • Bi-annual company offsites, twice-weekly team lunches, and monthly socials