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Data Annotation Engineer Jobs in New York (NOW HIRING)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Experience in managing high-volume data annotation sourcing programs * Demonstrated ability to ...

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

Research Engineers, Data

Manhattan, NY · On-site

$200 - $250/hr

Develop synthetic data, annotation, and feedback‑loop strategies to improve system performance in ... Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and ...

Software Engineer II

Jersey City, NJ · On-site

$106K - $146K/yr

Design and deliver services for data preparation, annotation workflows, lineage, and auditability * Develop cloud-native microservices and application programming interfaces to support scalable model ...

Partner with engineering on automated validation (schema completeness, duplicates, time sync ... Who You Are Required Background * 5+ years working at the intersection of ML and data -- annotation ...

Partner with engineering on automated validation (schema completeness, duplicates, time sync ... Who You Are Required Background * 5+ years working at the intersection of ML and data -- annotation ...

Software Engineer II

Jersey City, NJ · On-site

$106K - $146K/yr

Design and deliver services for data preparation, annotation workflows, lineage, and auditability * Develop cloud-native microservices and application programming interfaces to support scalable model ...

Software Engineer II

Jersey City, NJ · On-site

$125 - $150/hr

Design and deliver services for data preparation, annotation workflows, lineage, and auditability * Develop cloud-native microservices and application programming interfaces to support scalable model ...

New

Software Engineer II

Jersey City, NJ · On-site

$106K - $146K/yr

Design and deliver services for data preparation, annotation workflows, lineage, and auditability * Develop cloud-native microservices and application programming interfaces to support scalable model ...

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements. * Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and ...

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements. * Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and ...

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements. * Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and ...

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... You will partner closely with product managers, engineers, and data scientists to ensure Latent ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking

Showing results 21-40

Data Annotation Engineer information

See New York salary details

$56.3K

$161.3K

$215.5K

How much do data annotation engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data annotation engineer in New York is $161,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $214,400.00 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 New York?

For Data Annotation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in New York look for?

The top searched job categories for Data Annotation Engineer jobs in New York are:

What cities in New York are hiring for Data Annotation Engineer jobs?

Cities in New York with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $161,327 per year, or $77.6 per hour.

Manufacturing AI Training Specialist -- Task Creation & Model Evaluation (Contract)

Manhattan, NY • On-site

BAM Ventures
Investment Clubs and Venture Capital Companies • 1 - 10 employees

$100 - $125/hr

Other

Posted 21 days ago


Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including manufacturing, engineering, operations, and supply chain. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

Job Overview

As a Manufacturing AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the manufacturing domain. Rather than traditional annotation and labeling, this role centers on benchmark task creation and evaluation: you'll draw on your real professional experience to author realistic, economically valuable manufacturing tasks and rubrics, then grade AI-generated deliverables against them.

What You’ll Do
  • Author realistic task scenarios drawn from your own professional experience — e.g., analyzing production data, building cost or capacity models, evaluating supplier quotes, or reviewing technical specs
  • Supply the kinds of reference materials you’d use on the job (spreadsheets, CAD/engineering files, procurement documents)
  • Write detailed rubrics defining what a correct, high-quality deliverable requires — specific calculations, formatting, and structure a client would expect
  • Grade AI-generated deliverables (often Excel models or technical documents) against your rubric and professional judgment
  • Participate in calibration sessions with other experts to align scoring standards across the benchmark
Preferred Qualifications
  • Bachelor's or Master’s degree in Industrial Engineering, Mechanical Engineering, Operations, or a related field
  • Prior hands‑on experience in manufacturing operations, production management, or supply chain/procurement
  • Comfort working in Excel-heavy workflows (cost models, BOMs, capacity planning)
  • Prior experience with AI model training, evaluation, or benchmark development is a plus
What We Offer

At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in manufacturing and industrial work.

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About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014