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Image Data Analyst Jobs (NOW HIRING)

Welocalize, Inc.

Data Quality Analyst

Update training and test model databases with new or amended synthetic textual and image data ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Update training and test model databases with new or amended synthetic textual and image data ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

TecTammina

Business Data Analyst

Hartford, CT · On-site

Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using ... At least 3 years of experience as an Analyst involved in text/image processing techniques.

Welocalize, Inc

Data Quality Analyst

San Francisco, CA · On-site

$125 - $150/hr

Update training and test model databases with new or amended synthetic textual and image data ... Quality Assurance and Analysis: Conduct manual quality analysis of model results. Recognize error ...

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Image Data Analyst information

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$34K

$82.6K

$136K

How much do image data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for image data 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.

What is an image data analyst?

Image Data Analysts are professionals who specialize in processing, interpreting, and extracting meaningful information from digital images using analytical and computational techniques. They often work with large datasets of images in fields such as healthcare, remote sensing, manufacturing, and scientific research. Their responsibilities include cleaning image data, applying algorithms to detect patterns or anomalies, and collaborating with teams to derive insights that support decision-making or innovation. Proficiency in programming, image processing tools, and statistical analysis is typically required for this role.

How does an image data analyst typically collaborate with data scientists and software engineers on projects?

Image Data Analysts often work closely with data scientists to preprocess, annotate, and interpret visual datasets, ensuring data quality and relevance for model training. They also partner with software engineers to develop and optimize pipelines for image data ingestion, transformation, and storage. Effective communication and teamwork are vital, as analysts must clearly convey insights or issues to both technical and non-technical stakeholders, contributing to a seamless workflow and successful project outcomes.

What are the key skills and qualifications needed to thrive as an image data analyst, and why are they important?

To thrive as an Image Data Analyst, you need a solid background in statistics, computer vision, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with technical tools such as Python, MATLAB, TensorFlow, and image processing libraries, along with experience using machine learning frameworks, is usually required. Attention to detail, critical thinking, and strong problem-solving skills are essential soft skills that help interpret complex image data and communicate findings effectively. These skills are crucial for accurately extracting insights from visual data and supporting data-driven decision-making across various industries.

What is the difference between Image Data Analyst vs Data Scientist?

AspectImage Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Computer Science, or related field; familiarity with image processing toolsBachelor's or higher in Data Science, Computer Science, or related; often includes programming and statistical skills
Work EnvironmentTech companies, research labs, media, and marketing firms focusing on visual dataVarious industries including tech, finance, healthcare, and research
Employer & Industry UsageUsed in industries analyzing visual content, such as advertising, media, and AI developmentApplied across multiple sectors for data analysis, predictive modeling, and machine learning

While both roles involve data analysis, Image Data Analysts specialize in visual and image-specific data, focusing on image processing and interpretation. Data Scientists have broader responsibilities, including developing models and algorithms across various data types. The roles often overlap in skills like data handling and programming but differ in their focus areas and industry applications.

What cities are hiring for Image Data Analyst jobs?

Cities with the most Image Data Analyst job openings:

What states have the most Image Data Analyst jobs?

States with the most job openings for Image Data Analyst jobs include:

What are popular job titles related to Image Data Analyst jobs?

For Image Data Analyst jobs, the most frequently searched job titles are:

Image Data Analyst jobs near you
Infographic showing various Image Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Quality Analyst

Remote

Welocalize, Inc.
Translation Services • 1 - 5K employees
Learn more about Welocalize, Inc.external

Full-time

Posted 6 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 500 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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