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Data Tagger Jobs in California (NOW HIRING)

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

... tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler ... data entry skills * Ability to work in a flexible environment, shift quickly as our business ...

Fall 2026 PR and Social Media Internship

Los Angeles, CA · On-site

$16.25 - $20.75/hr

... data input for weekly reporting/client updates * Learn and demonstrate basic understanding of ... Learn and gain a basic understanding of Tagger (Sprout Social) for influencer analysis * Provide ...

Data Tagger information

What is a data tagging job?

A data tagging job involves labeling or annotating data, such as images, videos, or text, to help machine learning models understand and process information. Workers typically use specialized tools to add tags according to specific guidelines and may need attention to detail and basic technical skills. This role is often performed remotely and can be part-time or freelance.

Do data entry jobs really pay?

Data tagger jobs typically pay hourly wages that vary depending on experience, location, and employer, with rates often ranging from minimum wage to higher amounts for experienced workers. Many data tagging roles are entry-level and may offer part-time or flexible schedules, but pay rates are generally consistent with other data entry positions. Accurate and efficient work can lead to higher earnings or bonuses in some cases.

What are the key skills and qualifications needed to thrive as a Data Tagger, and why are they important?

To thrive as a Data Tagger, you need keen attention to detail, strong analytical skills, and familiarity with labeling guidelines, often backed by a high school diploma or relevant experience. Proficiency with data annotation platforms, spreadsheets, and sometimes basic knowledge of programming or machine learning tools is common. Effective communication, reliability, and the ability to concentrate for extended periods help someone excel in this role. These skills ensure that datasets are accurately labeled, which is critical for training high-quality AI and machine learning models.

What are Data Taggers?

Data Taggers are professionals who label or annotate data, such as images, text, audio, or video, to make it usable for machine learning models. Their work involves identifying and marking specific features or objects within datasets, ensuring that artificial intelligence systems can learn from accurately labeled information. Data tagging is critical in training algorithms for tasks like image recognition, natural language processing, and autonomous driving. Attention to detail and consistency are important skills for this role.

Which 3 jobs will survive AI?

Data taggers are likely to be replaced by AI systems that can automate data labeling and annotation tasks. Jobs that require complex human judgment, creativity, or emotional intelligence—such as healthcare professionals, creative designers, and mental health counselors—are more likely to persist. Skills in managing, supervising, or developing AI tools will also remain valuable.

What is the difference between Data Tagger vs Data Annotator?

AspectData TaggerData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentData labeling platforms, remote or on-siteData labeling platforms, remote or on-site
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Search & Comparison IntentYesYes

Both Data Taggers and Data Annotators work in AI and machine learning fields, often performing similar tasks like labeling data. The main difference lies in terminology used by different companies or platforms, but their roles, skills, and work environments are largely overlapping. Understanding these terms can help job seekers find relevant opportunities in data labeling and annotation roles.

Is 40 too late for data science?

For a Data Tagger or similar entry-level data roles, age is generally not a barrier; skills, relevant experience, and training are more important. Many professionals transition into data science or related fields later in their careers by acquiring necessary skills such as programming, statistics, and tools like Python or SQL. Age should not prevent pursuing a career in data science if you are committed to learning and developing relevant expertise.

What are some common challenges faced by Data Taggers and how can they be managed?

Data Taggers often encounter challenges such as repetitive tasks, maintaining high accuracy, and meeting tight deadlines. To manage these, it's important to develop strong attention to detail and take regular breaks to avoid fatigue. Collaborative communication with team members and supervisors can also help clarify ambiguous data points and improve overall data quality. Many organizations provide training sessions and quality assurance feedback to support continuous improvement in this role.
What job categories do people searching Data Tagger jobs in California look for? The top searched job categories for Data Tagger jobs in California are:
What cities in California are hiring for Data Tagger jobs? Cities in California with the most Data Tagger job openings:
Infographic showing various Data Tagger 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.
Infrastructure Engineering - Linguist II

Infrastructure Engineering - Linguist II

PROLIM Global Corporation

Burlingame, CA • On-site, Remote

Full-time

Posted 16 days ago


Job description

PROLIM (www.prolim.com) is currently seeking(Infrastructure Engineering - Linguist II) for one of our top Client for Location-California,remote
Qualified candidates can directly send your updated resume and contact info via email: alec.dsouza@prolim.com
Job Description: Summary:
The main function of a Linguist is to determine speech data needs and setting strategic vision for data based model and product improvements.
Job Responsibilities:
• Provide linguistic expertise in the areas of phonetics, phonology, lexicography, dialectology, and NLP.
• Design and conduct experiments for evaluating transcription quality.
• Develop manual and automated processes for multiple concurrent projects including ensuring high-quality label alignments, prosodic classification, POS identification and disambiguation, targeted modeling data, and user feedback.
• Create and perfect text normalization and inverse text normalization processes.
• Manage lexical and phrasal transcriptions and related metadata.
• Analyze system metrics such as user opinion, lexicon transcription coverage, and POS tagger performance and remedy pain points.
Skills:
• Native speaker of Telugu.
• Knowledge of phonetics, phonology, sociolinguistics, dialectology and other areas of linguistics.
• Ability to analyze waveforms and spectrograms.
• Knowledge of prescriptive writing and punctuation conventions for at least one language.
• Excellent communication skills both verbal and written.
• Knowledge in transcription and annotation systems such as SAMPA, IPA and ToBI. Education/
Experience:
• Bachelor's degree in linguistics, language technologies, computational linguistics, speech science, or related field.
Job description:
About PROLIM
PROLIM is a leading provider of PLM, IoT and Digital transformation solutions to Global Fortune 1000 companies. With 9 global offices in US, India, and Australia, PROLIM has won 30+ awards and proudly serving over 1200+ customers to innovate and improve their profitability and efficiency. PROLIM was founded in 2005 and is headquartered in Farmington Hills, USA. With the global footprint and expertise in latest technologies, PROLIM can partner with you to speed up your Digital Transformation journey.