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Data Annotation Tech Jobs in New York (NOW HIRING)

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 ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're ... Support data annotation, curation, and quality control processes * Summarize findings into ...

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Data annotation, AI training operations, or structured video review. * Basic hardware or software ... Nidus Technologies is an equal opportunity employer, and qualified applicants will receive ...

Polish Data Labeler

Manhattan, NY · On-site

$26 - $28/hr

Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Basic familiarity with AI, speech technology, or language data is a plus Benefits * Paid Vacation ...

Regulated Environments Tools & Technologies * Golden Data Sets * LLM-as-Judge Pipelines * Human Annotation Tooling * Online Monitoring * Internal Tooling #J-18808-Ljbffr

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Data Annotation Tech information

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How much do data annotation tech jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data annotation tech in New York is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $29.71 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What are the most commonly searched types of Data Annotation Tech jobs in New York?

The most popular types of Data Annotation Tech jobs in New York are:

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

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

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

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

Infographic showing various Data Annotation Tech job openings in New York as of September 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $51,980 per year, or $25 per hour.

Senior Data Scientist

Manhattan, NY • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


NBCUniversal rating

8.2

Company rating: 8.2 out of 10

Based on 133 frontline employees who took The Breakroom Quiz


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership.

Key Responsibilities

  • Cross-Functional Coordination: 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 processed to meet the rigorous standards of production-level machine learning.
  • Requirements Translation: Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams.
  • Quality Assurance & Analysis: Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate.
Qualifications
  • Master's Degree or certification in Data Science or related computational sciences field.
  • 3+ years of relevant industry experience in a fast paced, high growth tech environment.
  • Professional Experience: Proven experience as a Data Scientist in a fast-paced environment.
  • Domain Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
  • Technical Proficiency:
    • ​​​​​​Core Tools: Fluency with Python, Git, and the Unix shell.
    • Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework.
    • Data Visualization: Familiarity with data visualization and inspection tools specifically designed for computer vision and 3D data, such as FiftyOne.
    • Fundamentals: Deep understanding of data science fundamentals and a strong mathematical background.
  • Attributes:
    • Conscientiousness: High attention to detail and commitment to data accuracy.
    • Communication: Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - 150,000


Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.


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