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Full Time Machine Learning Data Annotation Jobs in Highland, CA

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee ... Knowledge of machine learning algorithms and techniques. * Experience with cloud platforms (e.g ...

IEHP

Data Scientist II

Rancho Cucamonga, CA · On-site

... of Machine Learning theory with significant applied experience • Familiarity with basic ... multiple projects, data input, and strong problem-solving capability • Proven ability to ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality • Build software that follows industry-standard ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality • Build software that follows industry-standard ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality • Build software that follows industry-standard ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality • Build software that follows industry-standard ...

American Wire Group

Machine Operator

Perris, CA · On-site

$17.25 - $20.75/hr

... data center, and utility markets. All of our products meet or exceed industry standards for ... Ambition: will ask questions, will take notes, and will show interest in learning new things, once ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows industry-standard design patterns ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Highland, CA

Full Time Machine Learning Data Annotation information

See Highland, CA salary details

$37.2K

$121.9K

$195.2K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time machine learning data annotation in Highland, CA is $121,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What cities near Highland, CA are hiring for Full Time Machine Learning Data Annotation jobs? Cities near Highland, CA with the most Full Time Machine Learning Data Annotation job openings:
Full Time Machine Learning Data Annotation jobs near you
DATA SCIENTIST II

DATA SCIENTIST II

VSolvit

Norco, CA • On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Data Scientist II

On Site: Norco, CA

Job Summary
We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product performance, and operation efficiency to develop predictive models and support decision-making processes while adhering to the highest standards of security and confidentiality. You have a unique talent for finding answers to questions our customers never thought to ask by analyzing data in new ways. to solve complex problems in a variety of domains.

As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.

Responsibilities

  • Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions
  • Develop, implement, and maintain predictive models and machine learning algorithms
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
  • Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data
  • Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders
  • Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies
  • Support senior leadership in strategic decision-making through advanced data-driven insights
  • Stay up-to-date with the latest developments in data science, machine learning, and related fields
  • Provide technical guidance and mentorship to junior data scientists and analysts

Basic Qualifications

US Citizenship Required

Ability to obtain Secret Security Clearance

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
  • Two to five years of experience as a Data Scientist or in a related data analysis role
  • Proficiency in Python, R, or similar programming languages for data analysis
  • Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of SQL and experience with relational databases
  • Machine Learning experience
  • Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar
  • Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making
  • Excellent communication skills, with the ability to present technical findings to non-technical stakeholder
  • Experience working with Atlassian product and project management tools (Jira, Confluence)
  • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered

Preferred Skills and Qualifications

  • Experience working with classified government data or in a defense-related environment
  • Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools
  • Continued education and knowledge of current and emerging AL/ML technologies (e.g., Hadoop, Spark)
  • Experience with DevOps practices and version control (Git, GitHub)
  • Strong problem-solving skills and ability to work in a fast-paced environment

Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.