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Full Time Data Labeling Jobs in New York (NOW HIRING)

Welo Data

Data Labeling Associate

New York, NY · On-site

$34/hr

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

SG Services, Inc.

Data Insights Manager

Brooklyn, NY · On-site

$65K/yr

Data Insights Manager Status: Full-time Hours: 40/week, Monday - Friday, 9 am-6 pm Location ... Create regular and ad-hoc reports to inform label partners, artists, and internal teams on key ...

SG Services, Inc.

Data Insights Manager

Brooklyn, NY

$65K/yr

Data Insights Manager Status: Full-time Hours: 40/week, Monday - Friday, 9 am-6 pm Location ... Create regular and ad-hoc reports to inform label partners, artists, and internal teams on key ...

SG Services, Inc.

Data Insights Manager

Brooklyn, NY · On-site

$65K/yr

Data Insights Manager Status: Full-time Hours: 40/week, Monday - Friday, 9 am-6 pm Location ... Create regular and ad-hoc reports to inform label partners, artists, and internal teams on key ...

Warner Records

Data Scientist

New York, NY · On-site

You will assist our labels and artists in connecting with consumers across diverse media and ... full-time post-graduation experience applying econometric and statistical methods in a business ...

Public Health Solutions

Survey Data Analyst

Queens, NY · On-site

$91K/yr

DOHMH is seeking one full-time Survey Data Analyst within the Center for Population Health Data ... labels, and formats * Creating analytic and final datasets, codebooks, and other supporting ...

Horizon Media

Data Scientist II

New York, NY · On-site

This full time opportunity is for a talented data scientist to work client-related services work in ... labelled datasets, and targeting strategies. This level of the position and the rate for this ...

Horizon Media

Data Scientist II

New York, NY · On-site

This full time opportunity is for a talented data scientist to work client-related services work in ... labelled datasets, and targeting strategies. This level of the position and the rate for this ...

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All JobsData Labeling JobsFull Time Data Labeling JobsFull Time Data Labeling Jobs in New York

Full Time Data Labeling information

What is the difference between Full Time Data Labeling vs Data Annotation Specialist?

AspectFull Time Data LabelingData Annotation Specialist
CredentialsTypically requires basic computer skills, sometimes a high school diplomaSimilar, often no formal certification needed
Work EnvironmentRemote or office-based, part of a larger data teamRemote or on-site, focused on annotation tasks
Industry UsageCommon in AI/ML companies, tech firmsUsed across AI, healthcare, automotive industries

Full Time Data Labeling and Data Annotation Specialist roles often overlap in skills and work environment. The main difference lies in job scope; Full Time Data Labeling typically refers to a permanent position with broader responsibilities, while Data Annotation Specialist may be a more focused or freelance role. Both roles are essential for training AI models and are frequently found in similar industries.

How much does full time data labeling pay?

Full-time data labeling jobs typically pay between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Salaries can also vary based on the employer and whether the role is remote or on-site.

Is data labeling a good career?

Data labeling is a common entry-level role in the data annotation industry, involving tasks like image, text, or audio annotation to train machine learning models. It offers flexible schedules and requires attention to detail, but typically has lower pay and limited advancement opportunities compared to other tech roles.

What are full time data labeling jobs?

Full time data labeling jobs involve annotating or categorizing data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail, familiarity with labeling tools, and may involve a standard work schedule of 40 hours per week. They are common in industries like AI development, autonomous vehicles, and natural language processing.

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

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

What are popular job titles related to Full Time Data Labeling jobs in New York?

For Full Time Data Labeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Full Time Data Labeling jobs in New York look for?

The top searched job categories for Full Time Data Labeling jobs in New York are:

Full Time Data Labeling jobs near you
Infographic showing various Full Time Data Labeling 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 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Labeling Associate

Welo Data

New York, NY • On-site

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A English with Dialect from (Australian, United Kingdom and Canadian) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.