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Data Annotation Engineer Jobs in Smithtown, NY (NOW HIRING)

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 ...

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 ...

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 ...

Support data annotation, curation, and quality control processes * Summarize findings into ... Prior work in model evaluation, prompt engineering, or safety analysis * Regional expertise or ...

Support data annotation, curation, and quality control processes * Summarize findings into ... Prior work in model evaluation, prompt engineering, or safety analysis * Regional expertise or ...

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 ...

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.

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.

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

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

... annotation, production feedback, and difficult edge cases while protecting sensitive data ... Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling ...

New

... annotation, production feedback, and difficult edge cases while protecting sensitive data ... Partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling ...

Showing results 21-40

Data Annotation Engineer information

See Smithtown, NY salary details

$52.2K

$149.5K

$199.7K

How much do data annotation engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data annotation engineer in Smithtown, NY is $149,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $198,700.00 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 Smithtown, NY?

For Data Annotation Engineer jobs in Smithtown, NY, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Smithtown, NY look for?

The top searched job categories for Data Annotation Engineer jobs in Smithtown, NY are:

What cities near Smithtown, NY are hiring for Data Annotation Engineer jobs?

Cities near Smithtown, NY with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in Smithtown, NY as of June 2026, with employment types broken down into 28% Full Time, and 72% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $149,470 per year, or $71.9 per hour.

Engagement Manager - Data as a Service

Snorkel AI

New York, NY • On-site, Remote

Full-time

Re-posted 15 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.