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Classifier Jobs in California (NOW HIRING)

Warehouse Materials Classifier

Chino, CA · On-site

$16.90 - $17/hr

As a Warehouse Materials Classifier, you'll sort and inspect items so the right materials get to the right place--safely and on time. Your impact * Sort, label, and stage materials to defined ...

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You will be developing novel, state-of-the-art methods and tools that will be used to monitor the output of our in-production multi-cancer classifier. Your work will be critical to the success of a ...

You will be developing novel, state-of-the-art methods and tools that will be used to monitor the output of our in-production multi-cancer classifier. Your work will be critical to the success of a ...

You will be developing novel, state-of-the-art methods and tools that will be used to monitor the output of our in-production multi-cancer classifier. Your work will be critical to the success of a ...

Event Classifier Development: Design and train temporal models (e.g., Video Transformers, LSTMs, or 1D-CNNs) to recognize and categorize discrete driving behaviors. Required Skills: Must-Haves

... classifier evaluation, calibration, thresholding, and error analysis at scale. Familiarity with detection systems in adversarial settings (e.g., evasion, distribution shift, feedback loops). • ...

... classifier encoding, and quality evaluations. Job Responsibilities: • Provide linguistic expertise while delivering data for large language models • Collaborate with other linguists and data ...

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Classifier information

How can I make 2000 a week working from home?

A classifier working from home can potentially earn $2,000 weekly by taking on multiple freelance or remote projects, often requiring strong analytical skills, attention to detail, and familiarity with machine learning tools. Building a reputation through platforms like Upwork or Fiverr and specializing in high-demand areas can increase earning potential, but consistent high income typically requires experience and a steady client base.

What is a classifier job description?

A classifier job involves developing and applying algorithms to categorize data into predefined groups, often using machine learning techniques. Responsibilities include data analysis, feature extraction, model training, and evaluation, typically requiring knowledge of programming languages like Python or R and familiarity with tools such as scikit-learn or TensorFlow.

What are some common challenges faced by Classifiers in ensuring data accuracy, and how are they typically addressed within a team?

Classifiers often face challenges such as ambiguous data, inconsistent labeling standards, and balancing speed with accuracy. To address these, teams usually implement clear labeling guidelines, regular training sessions, and peer reviews of classified data. Collaboration with data engineers and subject matter experts is common to resolve uncertainties and ensure that the classification process aligns with project objectives. Frequent team check-ins and feedback loops help maintain high data quality and support professional growth.

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

To thrive as a Classifier, you need strong analytical skills, attention to detail, and a solid understanding of data organization or product categorization, often supported by relevant experience or a background in data management. Familiarity with classification software, spreadsheets, and database management systems is typically required. Effective communication, problem-solving, and the ability to work independently are standout soft skills in this role. These skills and qualities are crucial for ensuring accurate classification, streamlined operations, and data integrity within an organization.

What jobs pay 4000 a week without a degree?

For a classifier role, high weekly pay of $4,000 typically requires extensive experience, specialized skills, or working in high-demand industries such as finance, technology, or consulting. Many such roles involve advanced data analysis, machine learning, or project management, often with certifications rather than formal degrees. Entry-level positions rarely reach this pay level without significant experience or niche expertise.

What Is a Classifier?

A classifier reviews data or records and determines the proper classification of each piece of material. Their job duties often vary by industry; a classifier at a patent office determines the category a patent application should be placed in, while someone working in a library may classify library items according to the Dewey Decimal System. Qualifications for this career also vary by field but often include knowledge or experience in the specific area or industry, organizational skills, and the ability to work independently.

What skill pays $100 an hour?

For a classifier role, skills in machine learning, data analysis, and proficiency with tools like Python, R, or specialized classification software can command hourly rates of $100 or more, especially with experience and in high-demand industries such as finance or healthcare. Advanced knowledge of algorithms and certification in data science can further increase earning potential.

What does a Classifier do?

A Classifier is a professional who categorizes items, data, or information based on specific criteria or standards. In various industries, Classifiers might organize products, documents, or even digital content to ensure proper identification and retrieval. Their work helps maintain order, improve efficiency, and support data-driven decision making. Depending on the field, they may use manual methods, specialized software, or machine learning algorithms to perform their tasks.
What are popular job titles related to Classifier jobs in California? For Classifier jobs in California, the most frequently searched job titles are:
What job categories do people searching Classifier jobs in California look for? The top searched job categories for Classifier jobs in California are:
What are popular job titles related to Classifier jobs in CA? For Classifier jobs in CA, the most frequently searched job titles are:
Infographic showing various Classifier job openings in California as of July 2026, with employment types broken down into 85% Full Time, and 15% Nights. Highlights an 67% In-person, and 33% Remote job distribution.
Warehouse Materials Classifier

Warehouse Materials Classifier

York Employment

Chino, CA • On-site

$16.90 - $17/hr

Other

Posted 2 days ago


Job description

Ready to keep a busy operation on track in Chino, CA?

Do you like hands-on work, staying organized, and seeing the results of your effort right away? As a Warehouse Materials Classifier, you’ll sort and inspect items so the right materials get to the right place—safely and on time.

Your impact
  • Sort, label, and stage materials to defined standards.
  • Inspect items for defects or mismatches and report issues.
  • Assist with loading and unloading to support steady workflow.
  • Maintain an orderly, hazard-free workspace.
  • Partner with teammates to reach daily production goals.
  • Follow safety procedures every step of the way.
Must-haves
  • High school diploma or GED preferred.
  • Prior labor, warehouse, or sorting experience is a plus.
  • Can lift up to 50 lbs and stand for long periods.
  • Detail-focused and able to follow written and verbal directions.
  • Effective communicator and dependable team player.
  • Willing to work flexible hours, including overtime when needed.
Core competencies
  • Shipping/receiving basics
  • Warehouse operations experience
  • Material handling (including heavy items)
  • Mechanical assembly familiarity
  • Packaging processes
  • Meets physical requirements of the role
  • High School / GED
  • Strong communication skills
  • Manufacturing environment experience
  • Basic computer literacy
Why this role?

You’ll be part of a collaborative, safety-minded team where your accuracy and pace directly contribute to hitting production targets. If you enjoy physically active work and a clear set of goals, you’ll thrive here.