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Freelance Machine Learning Data Annotation Jobs in Moreno Valley, CA

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 ...

Experience with other data visualization tools (e.g., Power BI, Looker) Knowledge of machine learning algorithms and techniques. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). This ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Freelance Machine Learning Data Annotation information

See Moreno Valley, CA salary details

$13

$22

$36

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

As of Sep 7, 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 are popular job titles related to Freelance Machine Learning Data Annotation jobs in Moreno Valley, CA?

For Freelance Machine Learning Data Annotation jobs in Moreno Valley, CA, the most frequently searched job titles are:

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:

Director-Data Science Center

Loma Linda University Health

San Bernardino, CA • On-site

$124K - $189K/yr

Full-time

Re-posted 26 days ago


Loma Linda University Health rating

8.2

Company rating: 8.2 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

101st of 1,065 rated hospitals


Job description


Shared Services: Center for Data Sciences (Full-Time, Day Shift) -
Job Summary: The Director for the Center of Data Science advances cutting-edge research and develops transformative solutions at the intersection of biology, medicine, and data science. Contributes to campus-wide groundbreaking initiatives that will drive scientific innovation, enhance patient care, and align our mission to improve lives. Performs other duties as needed.
Education and Experience: Doctor of Philosophy degree in Biostatistics, Bioinformatics, Computational Biology, Data Science, or a related field required. Minimum five years of applied experience in biostatistics, bioinformatics, and Artificial Intelligence and Machine Learning applications required.
Knowledge and Skills: Strong understanding of life sciences, including genomics, systems biology, and molecular biology. Working knowledge of descriptive and inferential statistics, predictive modeling, multivariate analysis, Bayesian statistics experimental design and Model validation and interpretation. Knowledge of bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), clinical and big data integration, multi-omics analyses, and translational research. Proficiency in statistical programming languages (e.g., R, SAS) and general-purpose programming languages (e.g., Python, Julia, or C++). Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and advanced AI algorithms. Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) and containerization tools (e.g., Docker, Kubernetes). Exceptional analytical and problem-solving skills. Able to read; write and speak with professional quality; use computer and software programs necessary to the position (e.g., Word, Excel, Power Point, Access); operate/troubleshoot basic office equipment required for the position. Relate and communicate positively, effectively, and professionally with others; provide leadership; be assertive and consistent in enforcing policies ensuring compliance with regulatory standards, rules and laws; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Think critically; work independently; perform basic math and statistical functions; manage multiple assignments; compose written material; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Distinguish colors as necessary; hear sufficiently for general conversation in person and on the telephone, and identify and distinguish various sounds associated with the workplace; see adequately to read computer screens, and written documents necessary to the position.
Licensures and Certifications: None.
About Us
Our mission is to continue the teaching and healing ministry of Jesus Christ. Our core values are compassion, excellence, humility, integrity, justice, teamwork and wholeness.
About the Team
Loma Linda University Health is a Seventh-day Adventist, faith and values based Christian institution. Candidates must understand and embrace the mission, purpose, and identity of Loma Linda and its affiliated entities.
We are an equal opportunity employer committed to the principles of diversity. We provide equal opportunities in all aspects of the employment process to every individual, regardless of gender, race, color, age, national origin, ancestry, physical or mental disability, marital or veteran status, genetic information or any other characteristic protected by law. In addition, we will provide reasonable accommodations for otherwise qualified individuals requesting an accommodation due to a disability. If you need accommodation assistance with accessing our job listings or completing an application, or during any other phase of employment with us, please contact Human Resources Management at (909) 651-4001.
Loma Linda University Shared Services is a religiously-qualified Equal Opportunity Employer under Title VII of Civil Rights Act of 1964. No question on this application is asked for the purpose of unlawfully limiting or excluding any applicant's consideration for employment because of race, color, religion, gender, age, national origin, disability, genetic information, or any other status protected by applicable law. If you need a reasonable accommodation in the hiring process, please notify Human Resource Management.
We appreciate your interest in Loma Linda and wish you success in your job search!

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About Loma Linda University Health

Sourced by ZipRecruiter

Loma Linda University Health (LLUH) is an esteemed healthcare organization situated in Loma Linda, California, US. Established in 1905, it was initially known as the College of Medical Evangelists, and it operated as the official medical institution of the Seventh-day Adventist Church until the name was changed to LLUH in 1961. LLUH is very much active in the healthcare and education sectors, providing a vast range of services such as medical treatment, research, and health education. The organization’s core mission is "to continue the teaching and healing ministry of Jesus Christ", which underlines its binding values of compassion, integrity, excellence, freedom, and justice.

Industry

Health care and social assistance and hospitality services

Company size

10,000+ Employees

Headquarters location

Loma Linda, CA, US