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Data Preprocessing Jobs in Los Angeles, CA (NOW HIRING)

Qcells

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Capsule.Video Inc

AI Engineer

Los Angeles, CA · On-site

Experience with data preprocessing, feature engineering, and model selection and optimization * Experience building and deploying ML models in production environments * Strong problem-solving and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience with data cleaning and preprocessing techniques. * Knowledge of engineering and consulting industry practices. Working Conditions: * Remote-based with potential for hybrid work ...

TIAA

RFP Response Specialist

Los Angeles, CA · On-site

$78K - $104K/yr

... Data Preprocessing, Detail-Oriented, Nuveen Products/Services Acumen, Project Management, Proposal Writing Anticipated Posting End Date: 2026-07-31 Base Pay Range: $78,800/yr - $104,000/yr Actual ...

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All JobsData Preprocessing JobsData Preprocessing Jobs in Los Angeles, CA

Data Preprocessing information

See Los Angeles, CA salary details

$49.6K

$177.8K

$262.4K

How much do data preprocessing jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data preprocessing in Los Angeles, CA is $177,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,800.00 and $183,200.00 per year, depending on experience, location, and employer.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

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

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What are some common challenges faced in a Data Preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
What are popular job titles related to Data Preprocessing jobs in Los Angeles, CA? For Data Preprocessing jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Data Preprocessing jobs in Los Angeles, CA look for? The top searched job categories for Data Preprocessing jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Data Preprocessing jobs? Cities near Los Angeles, CA with the most Data Preprocessing job openings:
Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $177,809 per year, or $85.5 per hour.

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Re-posted 22 days ago

Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.


This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.


What You Will Do:

  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.

  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.

  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.

  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse submissions.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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