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Machine Learning Data Associate Jobs in California

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Microsoft Corporation

Machine Learning

Mountain View, CA · On-site

$220K - $331K/yr

Overview As a Member of Technical Staff - Machine Learning, you will work to create LLM models for ... You should be comfortable creating Reinforcement Learning data, fine tuning, or training ...

Microsoft AI

Machine Learning

Mountain View, CA · On-site

... fixing data quality and curation, working with collaborators on creating new products). • OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g ...

Adobe

Sr. Machine Learning Engineer 4

San Jose, CA · On-site

$122K - $168K/yr

Required : • Degree or 5 years of experience that is equivalent in practice • Demonstrated background in machine learning, data science, or a related area • Strong programming skills in Python ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in California

Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for machine learning data associate in California is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $19.71 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

What is the salary of ML data associate?

The salary of a Machine Learning Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and tools like Python or SQL can earn higher salaries.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

Is ML data associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Job satisfaction depends on individual interests and career goals in technology and data fields.

How much do ML data associates make in the US?

Machine Learning Data Associates in the US typically earn between $35,000 and $60,000 annually, depending on experience, location, and employer. Entry-level positions may start lower, while those with specialized skills in data annotation, labeling, or familiarity with tools like Labelbox or CVAT can command higher salaries.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
What cities in California are hiring for Machine Learning Data Associate jobs? Cities in California with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you

Artificial Intelligence / Machine Learning / Data Science

Community School of the Arts Foundation

Los Angeles, CA • Remote

Other

Posted 12 days ago

Job description

The Community School of the Arts Foundation (CSAF) is seeking a passionate and dedicated Artificial Intelligence (AI) / Machine Learning (ML) / Data Science to support our mission in providing accessible and high-quality arts education to underprivileged communities. As a part of our team, you will play an integral role in analyzing and interpreting data to help optimize our programs, increase efficiency, and improve overall impact.

We are looking for a college, graduate student or recent grad who is interested in Artificial Intelligence. Machine Learning and Data Science. This is a remote position requiring 15-20 hrs.weekly. Only volunteers located in the U.S. We can only respond to those with resumes.

Responsibilities:

  1. Analyze and interpret data related to student enrollment, demographics, and program performance.
  2. Develop and implement AI/ML models to identify trends, patterns, and opportunities for improvement in our programs.
  3. Collaborate with the CSAF team to develop data-driven strategies for program expansion and resource allocation.
  4. Assist in creating visualizations and reports to communicate data insights to staff and stakeholders.
  5. Stay current on AI/ML best practices and technologies, and recommend new tools and techniques to further enhance CSAF's data analysis capabilities.

Requirements:

  1. Proficient in AI/ML algorithms and data science techniques.
  2. Experience with programming languages such as Python or R.
  3. Strong analytical and problem-solving skills.
  4. Excellent communication and collaboration abilities.
  5. Passion for the arts and commitment to making a positive impact in underprivileged communities.

Benefits:

  1. Opportunity to apply your AI/ML and data science skills to make a meaningful impact in the lives of children and families in need.
  2. Gain valuable experience working with a diverse team of educators, artists, and administrators.
  3. Network with professionals in the arts and non-profit sectors.
  4. Flexible volunteer hours and remote work options.
  5. Letters of recommendation and professional references upon successful completion of the volunteer term.

Join us at the Community School of the Arts Foundation and help us empower communities through the transformative power of the arts. Apply today and make a lasting difference in the lives of our students and families

Apply