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Data Annotation Manager Jobs in Secaucus, NJ (NOW HIRING)

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

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

Stackruit Ltd.

Senior AI Dataset Engineer

Manhattan, NY · On-site

$120 - $150/hr

Dataset Management: Construct and maintain datasets to support our AI team, with a focus on computer vision for both images and videos. * Data Handling: Execute data generation, cleaning, annotation ...

TransPerfect

BD Director-AI data Solutions

Manhattan, NY · On-site

$120 - $190/hr

... including data collection, annotation, and generative AI services--to Fortune 500 leaders ... Partner with our world-class Solutions Architects and Project Managers to ensure the seamless ...

New

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Figma

Manager, Product - Code

New York, NY · On-site +1

$206K/yr

Partner with leaders across engineering, design, data, and research to make technical product ... Deep experience shipping developer tools and AI products - has run evals, owned annotation ...

Mercor

Engineering Manager, Applied AI

New York, NY · On-site

$250K - $400K/yr

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 ...

YO AI Labs

Medical Coder - Remote

New York, NY · Remote

$50 - $80/hr

Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Secaucus, NJ

Data Annotation Manager information

See Secaucus, NJ salary details

$31.5K

$98.8K

$174.9K

How much do data annotation manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data annotation manager in Secaucus, NJ is $98,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $127,600.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Secaucus, NJ?

The most popular types of Data Annotation jobs in Secaucus, NJ are:

What are popular job titles related to Data Annotation Manager jobs in Secaucus, NJ?

For Data Annotation Manager jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Secaucus, NJ look for?

The top searched job categories for Data Annotation Manager jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Data Annotation Manager jobs?

Cities near Secaucus, NJ with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Secaucus, NJ as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $98,765 per year, or $47.5 per hour.

ML Engineer

Visia

New York, NY • On-site, Remote

$170K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 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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