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Full Time Annotation Jobs in Park Ridge, NJ (NOW HIRING)

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K/yr

Remote - Must have a 6 hour overlap with EST Remote Full-time Compensation: $100K We are hiring on ... annotation of billions of multimedia files, facilitating dataset creation for frontier research ...

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All JobsAnnotation JobsFull Time Annotation JobsFull Time Annotation Jobs in Park Ridge, NJ

Full Time Annotation information

See Park Ridge, NJ salary details

$40.8K

$78.9K

$129.1K

How much do full time annotation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time annotation in Park Ridge, NJ is $78,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $92,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Annotation Specialist, and why are they important?

To excel as a Full Time Annotation Specialist, you need keen attention to detail, strong analytical skills, and a solid understanding of data labeling concepts, often supported by a relevant degree or prior experience in data-related roles. Familiarity with annotation platforms, data management tools, and sometimes scripting languages like Python is commonly required. Strong communication, time management, and the ability to focus on repetitive tasks help individuals stand out in this position. These skills are essential to ensure high-quality, accurate data annotations that directly impact the performance of AI and machine learning models.

What are some common challenges faced in a full-time annotation role, and how can they be addressed?

Full-time annotation professionals often encounter challenges such as maintaining consistency and accuracy across large datasets, managing repetitive tasks, and meeting tight deadlines. These challenges can be addressed by developing a strong attention to detail, regularly cross-checking work, and utilizing annotation guidelines provided by the employer. Additionally, collaborating with team members and participating in quality assurance reviews helps ensure high standards and reduces errors. Many organizations offer training and feedback sessions to support continuous improvement and professional growth in this role.

What is a Full Time Annotation job?

A Full Time Annotation job involves labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Annotators carefully tag or highlight specific information in datasets, following detailed guidelines to ensure accuracy. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing, where high-quality labeled data is crucial for model performance. Full Time Annotation positions typically require attention to detail, consistency, and sometimes familiarity with specialized tools or subject matter.

What is the difference between Full Time Annotation vs Part Time Annotation?

AspectFull Time AnnotationPart Time Annotation
Work HoursTypically 40 hours/weekFewer hours, flexible schedule
CredentialsBasic training, attention to detailSame as full time, often same requirements
Work EnvironmentOffice or remote, consistent scheduleFlexible, part-time settings
Employer UsageFull-time positions in tech companies, AI firmsPart-time roles, freelance or contract basis

Full Time Annotation involves working a standard full-time schedule with consistent hours, often in a dedicated work environment, suitable for those seeking stable employment. Part Time Annotation offers flexible hours, ideal for individuals balancing other commitments or seeking supplemental income. Both roles require similar skills and training but differ mainly in hours and employment structure.

What cities near Park Ridge, NJ are hiring for Full Time Annotation jobs? Cities near Park Ridge, NJ with the most Full Time Annotation job openings:
Full Time Annotation jobs near you
Infographic showing various Full Time Annotation job openings in Park Ridge, NJ as of July 2026, with employment types broken down into 11% Locum Tenens, 30% Full Time, 18% Part Time, 14% Contract, 25% Nights, and 2% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $78,940 per year, or $38 per hour.
Finnish Data Labeling Analyst(Speech & Voice)

Finnish Data Labeling Analyst(Speech & Voice)

Welocalize

New York, NY • On-site

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

358th of 449 rated business services

Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.

What You'll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions
What We're Looking For
  • Native-level fluency in Croatian
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

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