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Data Preprocessing Jobs in Hercules, CA (NOW HIRING)

UPSIDE Foods

AI Intern - Fall Start

Emeryville, CA · On-site

$17.25 - $23.25/hr

Design and implement AI/ML workflows from data preprocessing to prediction, applicable across bioreactor scales and species. * Integrate AI solutions within organizational tools (e.g., Slack, Jupyter ...

Fieldguide

Lead Data Scientist

San Francisco, CA · On-site

$170K - $215K/yr

Build and maintain scalable data infrastructure-including preprocessing, ETL pipelines, data modeling, orchestration, and monitoring-to support analytics and product insights * Lead efforts to ...

Walmart

Senior Manager, Data Science

Hayward, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Castro Valley, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Alameda, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Berkeley, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Walnut Creek, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Oakland, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

Richmond, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

San Leandro, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Senior Manager, Data Science

San Francisco, CA · On-site

$110K - $286K/yr

... preprocessing & feature generation o Distributed training optimization o Token-level and batch ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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All JobsData Preprocessing JobsData Preprocessing Jobs in Hercules, CA

Data Preprocessing information

See Hercules, CA salary details

$50.8K

$182.2K

$268.9K

How much do data preprocessing jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data preprocessing in Hercules, CA is $182,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,400.00 and $187,700.00 per year, depending on experience, location, and employer.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with extensive experience and relevant certifications.

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.

Is 40 too late for data science?

Data preprocessing is a key step in data science, and individuals can enter the field at any age. Many data scientists start later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What do you do in data preprocessing?

Data preprocessing involves cleaning and transforming raw data to prepare it for analysis or modeling. This includes tasks such as handling missing values, removing duplicates, normalizing data, and encoding categorical variables, often using tools like Python or R. It is a crucial step to ensure data quality and improve model performance.

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.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human expertise remains critical for nuanced analysis and contextual understanding.

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 job categories do people searching Data Preprocessing jobs in Hercules, CA look for? The top searched job categories for Data Preprocessing jobs in Hercules, CA are:
What cities near Hercules, CA are hiring for Data Preprocessing jobs? Cities near Hercules, CA with the most Data Preprocessing job openings:
Data Preprocessing jobs near you

AI Engineer/ML Engineer - Senior Developers - AI Training - San Francisco, US

Prolific Academic Ltd

San Francisco, CA • On-site, Remote

$80/hr

Full-time

Posted 6 days ago

Key responsibilities

  • Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.

  • Validate ML-specific code and notebooks for efficiency and correctness.

  • Provide high-quality human feedback to align models with human intent, safety, and helpfulness.

Job description

AI & Machine Learning Engineer - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
  • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
  • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
  • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
  • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
  • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content.
What you'll be doing in the role
  • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
  • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
  • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
  • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
  • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
  • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
  • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
  • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
  • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.