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Part Time Data Labeler Jobs (NOW HIRING)

Seeking a flexible, part-time Labeling Specialist to support food safety and quality initiatives ... Develop and maintain accurate food labeling data including allergens, nutrition facts, ingredient ...

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Part Time Data Labeler information

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How much do part time data labeler jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for part time data labeler in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Labeler vs Part Time Data Annotator?

AspectPart Time Data LabelerPart Time Data Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, data labeling platformsRemote or on-site, data annotation tools
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Search IntentPart Time Data Labeler vs Part Time Data AnnotatorPart Time Data Labeler vs Part Time Data Annotator

Both roles involve preparing data for machine learning models, with similar skills and work environments. The main difference lies in terminology used by employers and platforms, but they often refer to the same tasks of labeling or annotating data to improve AI systems.

What cities are hiring for Part Time Data Labeler jobs? Cities with the most Part Time Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
What states have the most Part Time Data Labeler jobs? States with the most job openings for Part Time Data Labeler jobs include:

German Data Annotator & Translator Remote (Part-Time)

Cohere

Richmond, VA โ€ข Remote

$43.50K - $56.90K/yr

Part-time

Posted 4 days ago


Job description

A technology firm based in the United States is seeking part-time Data Annotators proficient in Modern Standard German. This remote role involves improving machine learning accuracy through data labeling, auditing, and evaluation, requiring approximately 16 hours of commitment weekly. Exceptional writing and attention to detail are crucial, along with experience in data formats such as JSON and CSV.

Ideal for those who enjoy working independently and creatively tackling problems. #J-18808-Ljbffr