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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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

$150K - $190K/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 ...

Instagram

Product Content Engineer

New York, NY · On-site +1

$162K/yr

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of ... frameworks, annotation guidelines, or quality rubrics for AI/ML systems * Demonstrated data ...

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 ...

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.

Project Healthy Minds

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Work at the nexus of design, product, engineering, and service partners. You'll liaise with ... Real experience running data operations with a human-in-the-loop or annotation component ...

Bloomberg LP

Team Leader - Document Research

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data in the development of these AI products, alongside CTO, Engineering and Product, contributing domain expertise in the generation of evaluation and annotation programs. Your work will touch a ...

Encord

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

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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 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?

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

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Cities near Edison, NJ with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you

ML Engineer

Visia

New York, NY • On-site, Remote

$170K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

Machine Learning Engineer @ Visia
New York, NY (Hybrid/In-person)
About Us
Visia is the first multimodal AI platform custom built for heavy industry. Visia's full-stack physical intelligence platform includes robust sensing systems across imaging modes (cameras, X-rays, cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into structured operational intelligence, and software-driven Field Engineering that drives real transformation on-site at some of the world's largest industrial operations.
We deploy our hardware systems powered by our model flywheel across recycling facilities, steel mills, aluminum smelters, ports, and waste-to-energy plants, processing over 1 billion data points a year. When customers adopt Visia they aren't buying a point solution - they are parting with a platform business that turns unstructured optical data into real-time, actionable intelligence for their operations.
What We're Looking For
We're looking for a Platform Engineer to own and accelerate Visia's data flywheel - the engine that makes our fine-tuned models smarter with every deployment. You'll primarily build the tooling and automation that powers our annotation, model training, and data pipelines, ensuring that every image we process makes Solstice better at understanding the physical world.
This is a high-leverage role. The systems you build directly determine how fast we can onboard new customers, new sensor modalities, and new industry verticals. You'll also pitch in on custom Field Engineering implementations when needed and contribute to internal agentic tooling that helps the team move faster.
Responsibilities
  • Data Flywheel & Model Tooling
    • Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers
    • Build and maintain the pipelines that move data from deployed sensors → annotation → model training → production deployment
    • Develop tooling for model performance monitoring, error analysis, and continuous improvement across customer sites
    • Work closely with ML engineers to accelerate the feedback loop between deployed models and training infrastructure
  • Field Engineering Support
    • Contribute to custom Visia implementations for enterprise customers - building integrations with scale systems, ERPs, PLCs, and customer-specific reporting
    • Support Forward Deployed Engineering (FDE) engagements by building reusable tooling and templates that make each deployment faster than the last
    • Help translate customer operational needs into technical specifications and working softwareInternal
  • Tooling & Automation
    • Build agentic tooling to accelerate GTM workflows - automated sales deck generation, customer research, and outreach
    • Collaborate with the CEO on automating operational workflows
    • Contribute to Visia's overall product roadmap and help shape the future of physical intelligence in heavy industry
Who You Are
  • You have strong programming skills in one or more commonly used programming languages (we use Python, TypeScript, and Go)
  • You move fast, ship iteratively, and care about building things that actually work in production
  • You're comfortable working with at least some of the following and eager to learn the rest:
    • Python backend development (Flask, FastAPI)
    • Frontend development (React / React Native)
    • Cloud computing (GCP, AWS, or Azure)
    • CI/CD, IaC, and containerization (Docker, Terraform, GitHub Actions)
    • Databases (SQL, dbt, Postgres, ClickHouse)
  • Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure
  • You have proof of your engineering ability through GitHub projects or work experience
What You Might Work On
  • Building automated annotation pipelines that use SAM and vision-language models to pre-label datasets, cutting model iteration cycles by 5-10x
  • Creating model performance dashboards that surface accuracy regressions across customer sites before they become customer issues
  • Integrating Visia with a customer's scale system to automate compliance reporting they currently do by hand
  • Building an internal agent that generates customized sales decks from customer research and Visia's deployment playbooks
Compensation & Benefits
  • Compensation: $140,000-$155,000/yr + ~$30,000/yr in equity ($170,000-$185,000/yr)
  • Health, Vision, Dental + 401(k)
  • Flexible + Unlimited PTO

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