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Annotation Qa Jobs (NOW HIRING)

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

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 ...

... annotation, LLM evaluation, psychology QA, mental-health content review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI ...

... annotation, LLM evaluation, economic QA, academic review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

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 ...

Data Labeling Associate

San Diego, CA

$17 - $22/hr

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 ...

... annotation, LLM evaluation, academic QA, ethics review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

... annotation, LLM evaluation, economic QA, academic review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

... annotation, LLM evaluation, psychology QA, mental-health content review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI ...

... annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial ...

... annotation, LLM evaluation, economic QA, academic review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

... annotation, LLM evaluation, academic QA, ethics review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

... annotation, LLM evaluation, psychology QA, mental-health content review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI ...

... data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including ...

... annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial ...

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Quality Assurance : Review and correct annotations to maintain data integrity. * Collaboration

... data annotation, LLM evaluation, SQL QA, code review, or rubric-based technical review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including ...

... annotation, LLM evaluation, academic QA, fact-checking, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

... annotation, LLM evaluation, academic QA, ethics review, or rubric-based review. Company : Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) -- including machine ...

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Annotation Qa information

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How much do annotation qa jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for annotation qa in the United States is $43.83, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $47.84 per hour, depending on experience, location, and employer.

What is the difference between Annotation Qa vs Data Labeler?

AspectAnnotation QaData Labeler
Required CredentialsBasic technical skills, sometimes certifications in data annotation toolsBasic computer skills, sometimes certifications in labeling software
Work EnvironmentOffice or remote, collaborative with annotation teamsRemote or on-site, focused on labeling tasks
Industry UsageUsed in AI, machine learning, and data annotation companiesCommon in AI, machine learning, and data preparation sectors
Search & Comparison IntentOften compared for quality assurance roles in data annotationCompared for entry-level data preparation roles

Annotation Qa and Data Labeler roles are closely related in the data annotation industry. Annotation Qa focuses on quality assurance, reviewing and verifying labeled data, while Data Labelers perform the initial labeling tasks. Both require similar technical skills and work environments, but Annotation Qa emphasizes quality control processes. Understanding these differences helps employers and job seekers identify the right role based on skills and career goals.

How hard is it to get hired by data annotation?

Getting hired as a data annotation specialist generally requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and job volume.

Is AI annotation legit?

AI annotation is a legitimate task involving labeling data to train machine learning models, often performed by annotation QA specialists to ensure accuracy. It requires attention to detail and familiarity with annotation tools, and is a common part of AI development workflows.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and many positions are available for remote work with flexible schedules.

What is annotation qa?

Annotation QA (Quality Assurance) involves reviewing and verifying data annotations to ensure accuracy and consistency in datasets used for machine learning models. It typically requires attention to detail, understanding of annotation guidelines, and familiarity with annotation tools. The role helps improve data quality for training AI systems.
More about Annotation Qa jobs
What cities are hiring for Annotation Qa jobs? Cities with the most Annotation Qa job openings:
What states have the most Annotation Qa jobs? States with the most job openings for Annotation Qa jobs include:
Infographic showing various Annotation Qa job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 32% Full Time, 29% Part Time, 33% Contract, and 5% Nights. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $91,156 per year, or $43.8 per hour.
Data Labeling Associate

$17.50 - $22.75/hr

Full-time

Re-posted 16 days ago


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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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