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Manager Linguistic Annotation Jobs in Encinitas, CA

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria ... Ensure linguistic accuracy in all processed and annotated data. REQUIREMENTS Preferred ...

All JobsLinguistic Annotation JobsManager Linguistic Annotation JobsManager Linguistic Annotation Jobs in Encinitas, CA

Manager Linguistic Annotation information

See Encinitas, CA salary details

$24.2K

$68.9K

$122.4K

How much do manager linguistic annotation jobs pay per year?

As of Aug 24, 2026, the average yearly pay for manager linguistic annotation in Encinitas, CA is $68,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $90,800.00 per year, depending on experience, location, and employer.

What is a manager linguistic annotation?

Manager Linguistic Annotation jobs involve overseeing teams that label and annotate linguistic data, such as text, audio, or speech, to train and improve artificial intelligence and natural language processing systems. These managers are responsible for project planning, quality assurance, and ensuring that annotation guidelines are followed. They often collaborate with linguists, data scientists, and engineers to deliver high-quality annotated datasets on time. Strong communication skills, attention to detail, and experience in linguistics or language technology are typically required for this role.

What are the key skills and qualifications needed to thrive as a manager linguistic annotation?

To thrive as a Manager Linguistic Annotation, you need expertise in linguistics or computational linguistics, experience with annotation projects, and often an advanced degree in a related field. Familiarity with annotation tools, data management systems, and project management software is typically required. Strong leadership, communication, and organizational skills help manage teams, meet deadlines, and ensure high-quality output. These abilities are crucial for overseeing complex annotation workflows and delivering accurate linguistic data for AI and NLP applications.

How does a manager linguistic annotation typically collaborate with cross-functional teams to ensure project success?

A Manager of Linguistic Annotation frequently works alongside data scientists, computational linguists, software engineers, and product managers to align annotation guidelines with project goals. This role involves coordinating annotation tasks, clarifying linguistic requirements, and ensuring data quality through regular feedback sessions. Effective communication and the ability to translate linguistic concepts for non-specialist teammates are crucial. By fostering collaboration, the manager ensures that annotated datasets are accurate, consistent, and useful for downstream applications such as machine learning models.

What job categories do people searching Manager Linguistic Annotation jobs in Encinitas, CA look for?

The top searched job categories for Manager Linguistic Annotation jobs in Encinitas, CA are:

Manager Linguistic Annotation jobs near you
Infographic showing various Manager Linguistic Annotation job openings in Encinitas, CA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $68,907 per year, or $33.1 per hour.

Data Labeling Associate

Welocalize, Inc.

San Diego, CA

$17 - $22/hr

Full-time

Re-posted 16 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

335th of 496 rated business services

Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • 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 workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

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

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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