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Freelance Machine Learning Data Annotation Jobs in Moreno Valley, CA

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

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 ...

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 ...

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Knowledge of machine learning algorithms and techniques. * Experience with cloud platforms (e.g ...

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

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Knowledge of machine learning algorithms and techniques. * Experience with cloud platforms (e.g ...

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

The Data Analyst II will be responsible for transforming complex data into actionable insights ... Knowledge of machine-learning concepts and techniques. * Experience providing user training or ...

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... in AI and machine learning concepts. Important Information: - This is a freelance position ...

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 ...

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 ...

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 ...

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Freelance Machine Learning Data Annotation information

See Moreno Valley, CA salary details

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How much do freelance machine learning data annotation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for freelance machine learning data annotation in Moreno Valley, CA is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $26.15 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Moreno Valley, CA look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Moreno Valley, CA are:

What cities near Moreno Valley, CA are hiring for Freelance Machine Learning Data Annotation jobs?

Cities near Moreno Valley, CA with the most Freelance Machine Learning Data Annotation job openings:

DATA SCIENTIST II

VSolvit, LLC.

Norco, CA • On-site

$115 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

DATA SCIENTIST II

Full Time VS CA NORCO, Norco, CA, US

7 days ago Requisition ID: 1577

Salary Range: $115,000.00 To $130,000.00 Annually

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

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.

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