1

Data Tagger Jobs in California (NOW HIRING)

Build the internal tools that power our labeling operation and feed the AI team's data engine from the Tagger Portal, GT dashboards & admin tools, and quality tooling Technical Challenges You'll ...

New

Build the internal tools that power our labeling operation and feed the AI team's data engine from the Tagger Portal, GT dashboards & admin tools, and quality tooling Technical Challenges You'll ...

New

... 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 ...

New

... 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 ...

Data Tagger information

What is a data tagger?

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.

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 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 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.

What are popular job titles related to Data Tagger jobs in California?

For Data Tagger jobs in California, the most frequently searched job titles 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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Infrastructure Engineering - Linguist II

Burlingame, CA • On-site, Remote

PROLIM Global Corporation
IT Services • 201 - 500 employees

Full-time

Re-posted 15 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.