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Ai Data Annotation Remote Jobs in Freehold, NJ (NOW HIRING)

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ... AI and healthcare.

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ... AI and healthcare.

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses ...

Radiologist Remote

New York, NY · Remote

$350K - $437K/yr

Radiologist - Hand Anatomy Annotation Role Type: Contractor Location: Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual reasoning skills to support an AI ...

... AI to make these documents intelligible, abstracting what matters in them and detailing their ... Run data analysis on our dataset to design potential rules for annotation. * Improve the ...

Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and ... Experience with AI, data, developer tools, or technology products is highly relevant. What You'll ...

Showing results 21-40

Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

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

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

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

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

What job categories do people searching Ai Data Annotation Remote jobs in Freehold, NJ look for?

The top searched job categories for Ai Data Annotation Remote jobs in Freehold, NJ are:

What cities near Freehold, NJ are hiring for Ai Data Annotation Remote jobs?

Cities near Freehold, NJ with the most Ai Data Annotation Remote job openings:

Manager, Forward Deployed Engineering

Snorkel AI

New York, NY • On-site, Remote

$200K - $320K/yr

Full-time

Re-posted 19 days ago


Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization.
This team is responsible for the technical execution layer of DaaS delivery - owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale.
You will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable.
This is a hands-on, player coach role where you'll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects.
You'll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads.
Main Responsibilities
  • Build and lead the Forward Deployed Engineering function, defining the team's operating model, technical roadmap, and standards for execution
  • Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence
  • Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks
  • Drive development of ML-assisted and HITL workflows that improve the speed, scalability, and reliability of data production
  • Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery
    Develop scalable internal tooling and workflows for orchestration, monitoring, and delivery, reducing bottlenecks and improving throughput
  • Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities
What We're Looking For
  • 6+ years of experience in AI/ML/GenAI engineering, forward deployed engineering, solution engineering or applied AI roles, with strong hands-on technical depth
  • 2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
  • Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
  • Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs. Has written code in the last 2 years
  • Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
  • Strong systems thinking - ability to design scalable, reusable solutions rather than one-off implementations
  • Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams. Start-up or growth-stage experience is strongly preferred.
  • Customer-facing, consulting, or services experience is strongly preferred

Nice to have:
  • Experience with human-in-the-loop (HITL) systems, data annotation workflows, or data-centric AI approaches.
  • Familiarity with synthetic data generation or model-assisted labeling techniques.
  • Experience building internal platforms or tooling for delivery or operations teams
Why Join Snorkel AI?
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges - creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to find a function and have a broad, lasting impact across the company.
Compensation
The base salary range for this position is $200,000 - $320,000. This range reflects multiple factors, including role level and work location. The final offer within this range will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.
All offers also include equity in the form of employee stock options, as well as benefits.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$200,000-$320,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.