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Contract Data Annotation Analyst Jobs (NOW HIRING)

Welocalize, Inc.

Data Quality Lead

New York, NY

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

Data Quality Lead

San Francisco, CA · On-site

Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ... Provide guidance on advanced annotation techniques and quality analysis. Linguistic and NLP ...

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How much do contract data annotation analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for contract data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
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Contract Data Annotation Analyst jobs near you
Infographic showing various Contract Data Annotation Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Quality Lead

Data Quality Lead

Welocalize, Inc.

New York, NY

Full-time

Posted 4 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

335th of 428 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

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Job Responsibilities:

The ideal candidate will possess both technical prowess in machine learning and natural language processing, along with strong leadership skills to guide and mentor their team.

Key Responsibilities:

Team Leadership and Management:

  • Lead, mentor, and grow a team of data annotators and quality analysts.
  • Ensure team members are trained, informed, and adhere to company standards and best practices.
  • Oversee team performance, set goals, and conduct regular evaluations.

Strategic Oversight:

  • Collaborate with senior management to define strategic goals and deliverables.
  • Allocate resources and tasks efficiently among team members.
  • Act as a bridge between the annotation team and other departments, ensuring effective communication.

Quality Assurance and Analysis:

  • Oversee quality assurance processes and set benchmarks for performance and accuracy.
  • Review and approve detailed reports on findings prepared by team members.
  • Drive continuous improvement initiatives within the team based on analytics and performance metrics.

Technical Expertise:

  • Stay updated with the latest in machine learning, data annotation, and natural language processing.
  • Address complex technical challenges faced by the team.
  • Provide guidance on advanced annotation techniques and quality analysis.

Linguistic and NLP Leadership:

  • Guide the team in applying best practices in NLP and linguistics.
  • Ensure consistent linguistic accuracy across all processed and annotated data.

Education: Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Prior experience in a leadership role within a data annotation or machine learning team.
  • Proven track record of team management, mentorship, and performance optimization.
  • Strong analytical skills with the ability to derive actionable insights from data.
  • Deep understanding of machine learning models, data annotation, and quality assurance.
  • Excellent communication and interpersonal skills.

Additional Job Details:

Additional Information:

This role primarily focuses on English US data sets; however, having experience with translation or multi-lingual data sets can be advantageous.

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