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Data Annotation Jobs in Commack, NY (NOW HIRING)

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing ... Standing up human transcription, annotation and other operations, largely overseas, that make it ...

Support data annotation, curation, and quality control processes * Summarize findings into structured reports or data templates Creative Prompt Design: * Produce high-quality, diverse prompt sets ...

Support data annotation, curation, and quality control processes * Summarize findings into structured reports or data templates Creative Prompt Design: * Produce high-quality, diverse prompt sets ...

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 ...

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

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 ...

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Real experience running data operations with a human-in-the-loop or annotation component , including directing distributed specialists to a quality bar. * You've owned KPIs for data accuracy and ...

Services Data Lead

New York, NY · On-site

$75 - $100/hr

... annotation component , including directing distributed specialists to a quality bar. • You've owned KPIs for data accuracy and freshness - and can walk us through how you moved them. • Quality ...

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Real experience running data operations with a human-in-the-loop or annotation component , including directing distributed specialists to a quality bar. You've owned KPIs for data accuracy and ...

Showing results 41-60

Data Annotation information

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What job categories do people searching Data Annotation jobs in Commack, NY look for? The top searched job categories for Data Annotation jobs in Commack, NY are:
What cities near Commack, NY are hiring for Data Annotation jobs? Cities near Commack, NY with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Commack, NY as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Engagement Manager - Data as a Service

Snorkel AI

New York, NY • On-site, Remote

Full-time

Re-posted 10 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 Team
The Data-as-a-Service Engagement Management team sits at the center of Snorkel AI's DaaS business, partnering with leading AI labs and enterprises to deliver high-quality datasets that power frontier AI systems, and reports into the GM of the business. The team is responsible for driving customer adoption, consumption, and expansion, working closely with Sales, Delivery, Product, and Engineering.
About the Role
As an Engagement Manager, DaaS, you will own customer outcomes and revenue realization across your accounts. You are responsible for driving consumption of DaaS offerings and ensuring booked revenue is recognized. You will serve as the primary point of contact for enterprise customers, building strong relationships and guiding them from pilot through production. In close partnership with Account Executives, you will drive expansion and long-term account growth. This role blends customer success, commercial partnership, and delivery oversight-you are accountable for both successful delivery and sustained customer value.
About You
You are a customer-focused operator with strong ownership over outcomes. You're comfortable managing complex accounts, navigating ambiguity, and working cross-functionally to drive both customer success and business growth. You bring experience working with enterprise customers in technical or data-driven environments and are motivated by building long-term, high-impact partnerships.
Responsibilities
  • Own post-sale customer outcomes, including adoption, consumption, and revenue realization across assigned DaaS accounts
  • Drive ongoing consumption of contracted datasets, ensuring bookings are converted into recognized revenue
  • Build deep, multi-threaded relationships across customer organizations, including technical, operational, and executive stakeholders
  • Partner closely with Account Executives to identify, shape, and progress expansion opportunities
  • Lead customer engagements from project kick-off through ongoing production, ensuring alignment on goals, timelines, and success criteria
  • Manage delivery of complex datasets with the Delivery team, meeting quality, scope, and SLA expectations while proactively identifying risks
  • Communicate value delivered, usage trends, and growth opportunities to both technical and non-technical audiences
  • Act as the voice of the customer internally, collaborating with Delivery, Product, and Engineering to resolve issues and improve processes
  • Develop a strong understanding of customer workflows and data consumption patterns to proactively identify opportunities for increased adoption and expanded use cases
Requirements
  • 5+ years of experience in customer success, account management, consulting, or a related post-sales role in a technical or data-driven environment
  • Excellent track record of managing enterprise accounts and driving customer adoption, consumption, and expansion
  • Experience partnering closely with Sales or Account Executives in a shared ownership model of account growth
  • Strong ability to manage complex delivery programs while maintaining focus on customer outcomes and business impact
  • Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders
  • Technical aptitude in data, AI/ML, or related domains
  • Ability to navigate ambiguity, solve problems proactively, and operate effectively in a fast-paced environment
  • Familiarity with usage-based or consumption-driven business models
  • Willingness to travel up to 20% based on customer needs
Bonus points for:
  • Experience working with AI/ML workflows, data annotation, or data infrastructure
  • Experience driving net revenue retention (NRR) or expansion metrics in enterprise accounts

All offers include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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.