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Image Data Entry Jobs in California (NOW HIRING)

Data Labeling Associate

San Diego, CA

$17 - $22/hr

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 ...

Ability to represent a positive image * Two years of experience as Entry Clerk/Data Entry in a customs brokerage environment required What Cencora offers We provide compensation, benefits, and ...

Perform entry clearance process through our ACE System for Customs, USDA, FDA, DEA, and Fish and ... Ability to represent a positive image What Cencora offers We provide compensation, benefits, and ...

Operate high and/or low speed mail extraction/imaging equipment to remove mail-in payments from envelopes and image the contents. * Perform keying/data entry, balancing and research necessary to ...

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Image Data Entry information

See California salary details

$10

$19

$27

How much do image data entry jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for image data entry in California is $19.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Image Data Entry position, and why are they important?

To thrive as an Image Data Entry professional, you need keen attention to detail, fast and accurate typing skills, and familiarity with data management practices, often requiring a high school diploma or equivalent. Experience with image editing software, Optical Character Recognition (OCR) tools, and spreadsheet/database platforms like Microsoft Excel is highly beneficial. Strong organizational skills, reliability, and the ability to focus during repetitive tasks make candidates stand out in this role. These skills and qualities ensure precise and efficient processing of image-based information, which is critical for maintaining data integrity and supporting broader business operations.

What are some typical challenges faced by professionals in Image Data Entry roles?

One common challenge in Image Data Entry roles is ensuring accuracy when transcribing or processing information from images that may be unclear or of varying quality. Professionals must remain attentive over long periods, as even small errors can impact the integrity of the database or project. Additionally, managing large volumes of images within tight deadlines can be demanding, making strong time management a valuable asset. Supportive teams and streamlined digital workflows can help ease these challenges and foster a collaborative work environment.

What is an Image Data Entry job?

An Image Data Entry job involves inputting, processing, and organizing data extracted from images, such as scanned documents, photographs, or handwritten notes. Professionals in this role use specialized software and manual techniques to ensure accuracy and efficiency. Attention to detail and proficiency in data entry tools are essential for maintaining data integrity. This job is commonly found in industries like healthcare, finance, and e-commerce, where large volumes of visual data need to be digitized and managed.

What are popular job titles related to Image Data Entry jobs in California? For Image Data Entry jobs in California, the most frequently searched job titles are:
What job categories do people searching Image Data Entry jobs in California look for? The top searched job categories for Image Data Entry jobs in California are:
Infographic showing various Image Data Entry job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,974 per year, or $19.2 per hour.

$17 - $22/hr

Full-time

Re-posted 23 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

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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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