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Full Time Annotation Jobs (NOW HIRING)

Welocalize, Inc.

OR

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 ...

Welocalize, Inc.

OR

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 ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

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 ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

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 ...

Figure

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

Own Figure's external annotation and review vendor strategy end to end, from sourcing through ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

HSSSoft

JAVA Developer

Dallas, TX

$50.50 - $65.25/hr

Texas Job Type: Full Time Job Opportunity Required Skills: - Spring Framework 4 (Ryder code includes annotation based as well as XML based config). - Hibernate 4 with Spring Data JPA - J2EE ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

Use proprietary annotation tools to label objects, poses, and interactions in images and video ... The US base salary range for this full-time position starts at $30/hr. The pay offered for this ...

CloudDevs

AI Banking Tutor

Springfield, IL · On-site

$45/hr

This is a full-time opportunity suited for professionals with extensive experience in banking or ... annotation tools and workflows tailored for financial datasets Identify and analyze complex ...

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Full Time Annotation information

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$39K

$75.5K

$123.5K

How much do full time annotation jobs pay per year?

As of May 30, 2026, the average yearly pay for full time annotation in the United States is $75,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $88,500.00 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.

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What are the most commonly searched types of Annotation jobs? The most popular types of Annotation jobs are:
What states have the most Full Time Annotation jobs? States with the most job openings for Full Time Annotation jobs include:
What job categories do people searching Full Time Annotation jobs look for? The top searched job categories for Full Time Annotation jobs are:
Full Time Annotation jobs near you
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

San Francisco, CA

Full-time

Posted 7 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

202nd of 424 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 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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