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Data Annotation Project Manager Jobs in Warren, NJ

MDMS Recruiting

Project Manager, Market Data

Manhattan, NY · Hybrid

$57 - $77.25/hr

Project Manager , Market Data Location: New York, NY (Hybrid), Local Candidates only Duration: 6 Months + Description: We are seeking an experienced Project Manager to anchor and drive the delivery ...

JS Consulting

Data Center Project Manager

Somerset, NJ · On-site

$127K/yr

Job Title- Data Center Project Manager Project Location - Hybrid in Somerset, New Jersey Duration- 12+ months contract Visa- USC/ GC Interview- F2F Need local with Banking exp Position Description ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

This is a standards-and-methodology architecture role, not a QA-management role . You set the ... Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ...

Zealogics.com

Data Center Project Manager

Somerset, NJ · On-site

$127K/yr

... managing MEP or mission-critical construction projects within data centers or a similar environment required. • Experience with financial firms is preferred as it relates to the critical nature of ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Warren, NJ

Data Annotation Project Manager information

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How much do data annotation project manager jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data annotation project manager in Warren, NJ is $59.72, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $69.90 per hour, depending on experience, location, and employer.

What is the average salary for a data annotation project manager?

The average salary for a data annotation project manager typically ranges from $70,000 to $110,000 annually, depending on experience, location, and company size. In regions with a high cost of living, such as California, salaries tend to be higher to compensate for living expenses.

Does data annotation really pay you?

Data annotation project managers oversee labeling tasks and typically earn a salary or hourly wage, depending on the employer and project scope. Compensation varies based on experience, location, and the complexity of the annotation work, but it is generally a paid role with standard employment benefits. Freelance or contract annotators may be paid per task or project.

What are the key skills and qualifications needed to thrive as a Data Annotation Project Manager, and why are they important?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation project managers oversee this work, ensuring accuracy and quality using tools like labeling platforms. The process is legitimate and widely used in industry for creating reliable datasets.

What is the highest salary of data annotation?

The highest salaries for data annotation project managers can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of projects managed. Senior roles with extensive oversight or specialized skills in tools like labeling platforms may earn higher compensation. Salary ranges vary widely based on industry and company size.

What are some common challenges faced by Data Annotation Project Managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.
What cities near Warren, NJ are hiring for Data Annotation Project Manager jobs? Cities near Warren, NJ with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you

Linguist (Tamil / Marathi / Egyptian Arabic) !! Location: Seattle, WA / New York, NY 10001 Onsite

Intellisoft Technologies

Manhattan, NY

Other

Posted 9 days ago

Job description

Linguist (Tamil / Marathi / Egyptian Arabic)

Location: Seattle, WA / New York, NY 10001
Work Model: 100% Onsite (5 Days/Week)
Employment Type: Contract / Full-Time

Job Summary

We are seeking Linguists proficient in Tamil, Marathi, or Egyptian Arabic to support language-related projects involving linguistic analysis, data annotation, language validation, and content review. The ideal candidate will have strong language expertise and a background in linguistics or language studies.

Required Qualifications

  • Graduate with 1 2 years of relevant experience, OR
  • Postgraduate degree in Linguistics, Language Studies, or a related field
  • Native or near-native proficiency in one of the following languages:
    • Tamil
    • Marathi
    • Egyptian Arabic
  • Strong written and verbal communication skills
  • Excellent attention to detail and analytical abilities
  • Ability to work onsite full-time

Preferred Skills

  • Experience with linguistic annotation, transcription, translation, localization, or language quality evaluation
  • Familiarity with language data analysis and NLP-related projects is a plus

Language Openings

  • Tamil Linguist
  • Marathi Linguist
  • Egyptian Arabic Linguist

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