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Data Annotation Engineer Jobs in Bay Shore, NY (NOW HIRING)

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$160K - $220K/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 ...

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 ...

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 ...

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 ...

Triomics

Forward Deployed ML Engineer

New York, NY · On-site

$170K - $190K/yr

You own the full cycle: understanding the customer's data dictionary, studying the source clinical ... Work with the clinical annotation team to build gold-standard datasets and resolve edge cases

Turing

AI Quality Analyst - English

New York, NY · Remote

$25 - $30/hr

Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on ... Experience in data annotation, AI quality evaluation, content moderation, or a related role is ...

New

Forhyre

Prompt Engineers

New York, NY · On-site

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.

Encord

Solutions Engineer

New York, NY · On-site

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

Encord

Solutions Engineer

New York, NY · On-site

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

Palona AI

AI Modeling Engineer

New York, NY · On-site

... 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 ...

Palona AI

AI Modeling Engineer

Los Altos, CA · On-site

... 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 ...

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Bay Shore, NY

Data Annotation Engineer information

See Bay Shore, NY salary details

$53.6K

$153.6K

$205.2K

How much do data annotation engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data annotation engineer in Bay Shore, NY is $153,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $204,100.00 per year, depending on experience, location, and employer.

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 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 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 is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Bay Shore, NY?

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

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

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

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

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

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Bay Shore, NY as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,577 per year, or $73.8 per hour.

Data Ops Lead

Neon Mobile, Inc

New York, NY • On-site, Remote

$160K - $220K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Own the end-to-end process of transforming raw consumer audio streams into production-ready datasets for AI labs.

  • Manage data deals with external partners, ensuring datasets meet quality standards and are delivered according to specifications.

  • Establish and oversee human transcription, annotation, and QA operations, primarily overseas, to support dataset quality and throughput.

Job description

About Neon
Many large companies make billions each year by monetizing Americans' personal data. At Neon, we're finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data. We're backed by Lightspeed, Upper90, Upfront Ventures, and other cool investors.
About the role
Your mission is to turn Neon's raw consumer audio streams into the cleanest, most reliable training data on the market, and to build the commercial and operational engine that gets it into the hands of the world's leading AI labs.
As a Data Ops Lead, you'll own the end-to-end journey that takes raw recordings from our growing community of 500,000+ mobile users and delivers production-ready datasets to frontier labs. In practice, that means three things above all:
  • Structuring and managing the data deals that turn our recordings into revenue
  • Holding every dataset to a quality bar that keeps buyers coming back
  • Standing up human transcription, annotation and other operations, largely overseas, that make it all possible

You'll work directly with our CEO on commercial priorities and help shape each deal, interface with buyer-side engineering and research teams at frontier labs to translate their exact specifications into deliverable dataset plans, and partner with internal engineering and external vendors to make sure the pipeline supports what we've sold. This is a foundational role: the datasets and processes you build are the product we sell.
We're a small, early-stage team moving fast. Expect roughly 60 hours per week, with occasional weekend work around launches and deadlines. We're upfront about this because we'd rather find people who are energized by that pace than surprise anyone after they join.
You have...
  • Authorization to work in the US.
  • 5+ years of experience building and scaling data pipelines for AI/ML applications, with significant time spent on audio, speech, or multimodal data.
  • A track record of structuring and delivering against data or dataset agreements with external partners: taking their requirements, turning them into clear specifications, and owning delivery end to end.
  • Experience building and managing overseas or outsourced teams for data tagging, annotation, and QA, with a track record of maintaining quality and throughput across time zones.
  • Deep ownership of data quality: designing QA processes, defining acceptance criteria, and catching problems before a customer ever sees them.
  • Enough technical fluency to be credible on both sides of a deal. You understand digital audio fundamentals (sample rates, VAD, multichannel formats), can reason about how pipelines are built, and know what "good" looks like, even if you're not writing every line of code yourself.
  • A "Founder's Mentality." You're comfortable building from zero and making high-stakes calls with incomplete information.

Bonus points
  • A background working with audio data in some capacity.
  • Direct experience with training data for TTS, ASR, speaker ID, or full-duplex conversational models.
  • Familiarity with the modern audio stack (Librosa, FFmpeg, SoX, torchaudio) and cloud data infrastructure (S3, Redshift, BigQuery, or equivalent).
  • An understanding of how high-quality, speaker-separated audio gets captured (for example, via WebRTC-based recording tools).
  • Experience with active learning loops, human-in-the-loop QA systems, or corpus stratification for balanced dataset design.
  • Prior experience leading a data or infrastructure team, including hiring and mentoring engineers.

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