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Freelance Ai Data Collection Jobs in Riverside, CA

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA

$122K - $147K/yr

Experience with edge computing or intermittently connected data collection. * Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI believes in-person ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

Experience with edge computing or intermittently connected data collection. * Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI believes in-person ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA

$122K - $147K/yr

Experience with edge computing or intermittently connected data collection. * Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI believes in-person ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

Masimo Wearables

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

... data collection and analysis of physiological data • Carry out statistical analysis of clinical data • Implement physiological parameter measurement algorithms on embedded systems • Deliver ...

CWILL

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

... and AI Agent engineering automation exploration. We are looking for candidates with a solid ... collection, sync, cleansing, and loading • Participate in building offline and real-time data ...

Masimo

Sr Engineer, AI (ECG)

Irvine, CA

$140K - $170K/yr

The Senior AI Engineer - ECG is a senior-level individual contributor responsible for architecting ... Design clinical studies to collect physiological data from human subjects, perform data collection ...

Masimo

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

The Senior AI Engineer - ECG is a senior-level individual contributor responsible for architecting ... Design clinical studies to collect physiological data from human subjects, perform data collection ...

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All JobsAi Data Collection JobsFreelance Ai Data Collection JobsFreelance Ai Data Collection Jobs in Riverside, CA

Freelance Ai Data Collection information

See Riverside, CA salary details

$10

$21

$30

How much do freelance ai data collection jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for freelance ai data collection in Riverside, CA is $21.08, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $25.10 per hour, depending on experience, location, and employer.

What is the difference between Freelance Ai Data Collection vs Freelance Data Annotation?

AspectFreelance Ai Data CollectionFreelance Data Annotation
CredentialsBasic data handling skills, familiarity with data sourcesAttention to detail, understanding of annotation tools
Work EnvironmentRemote, independent data gatheringRemote, using annotation platforms
Industry UsageCollecting raw data for AI modelsLabeling and annotating data for training AI

Freelance Ai Data Collection involves gathering raw data from various sources, while Freelance Data Annotation focuses on labeling data to train AI models. Both roles are remote and require attention to detail, but they serve different stages in AI development.

What are some common challenges faced by freelance AI data collectors, and how can they be addressed?

Freelance AI data collectors often encounter challenges such as meeting strict quality standards, managing inconsistent workloads, and ensuring data privacy. To address these, it's important to closely follow project guidelines, communicate proactively with project managers, and stay organized with time management tools. Additionally, familiarizing yourself with data protection best practices and seeking feedback can help improve your performance and reliability on future projects.

What are the key skills and qualifications needed to thrive as a Freelance AI Data Collection Specialist, and why are they important?

To excel as a Freelance AI Data Collection Specialist, you need strong analytical skills, attention to detail, and familiarity with data entry or annotation tasks, often supported by a background in computer science or related fields. Proficiency with data labeling tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker Ground Truth is typically required. Excellent communication, reliability, and the ability to follow nuanced guidelines help freelancers stand out in this role. These skills ensure the delivery of high-quality, accurate datasets that are essential for effective AI model training.

What is freelance AI data collection?

Freelance AI data collection involves gathering and labeling data—such as images, text, audio, or video—that is used to train artificial intelligence and machine learning models. Freelancers in this field are typically hired by companies or research organizations to collect, organize, and sometimes annotate large datasets according to specific guidelines. The work can range from recording voice samples to tagging objects in photographs, ensuring that the data is accurate and diverse. This role is essential for improving the performance and reliability of AI systems across various applications.
What are popular job titles related to Freelance Ai Data Collection jobs in Riverside, CA? For Freelance Ai Data Collection jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Freelance Ai Data Collection jobs in Riverside, CA look for? The top searched job categories for Freelance Ai Data Collection jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Freelance Ai Data Collection jobs? Cities near Riverside, CA with the most Freelance Ai Data Collection job openings:
Freelance Ai Data Collection jobs near you
Sr. Engineer Data Science & Agentic AI

Sr. Engineer Data Science & Agentic AI

Niagara Bottling

Diamond Bar, CA • On-site

$119K - $143K/yr

Full-time

Posted 23 days ago

Niagara Bottling rating

7.9

Company rating: 7.9 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

90th of 397 rated food and drinks producers

Job description

Job Summary:
Niagara Bottling is seeking a Sr. Engineer Data Science & Agentic AI to develop and implement advanced data science and AI products focused on machine maintenance. The role includes managing the entire data science lifecycle, optimizing integration across data pipelines, and leading the strategy for machine learning and agentic AI initiatives.
Responsibilities:
• Lead the entire data science, machine learning, and agentic AI lifecycle, from problem definition and data collection through model/agent design, deployment, monitoring, governance, and continuous improvement.
• Ensure seamless integration and coordination across data pipelines, ML/DL models, LLM applications, agentic workflows, APIs, and business processes, optimizing for safety, scalability, efficiency, and business impact.
• Establish robust monitoring mechanisms for deployed models and AI agents, enabling proactive identification of performance, reliability, drift, safety, cost, and governance issues.
• Define and execute the overall machine learning, deep learning, and Agentic AI strategy aligned with business goals, maintenance reliability priorities, and enterprise technology standards.
• Work closely with stakeholders to identify opportunities for advanced analytics, predictive modeling, AI agents, and intelligent workflow automation that improve maintenance reliability, decision quality, and operational efficiency.
• Define and lead the Agentic AI roadmap for predictive maintenance, maintenance knowledge management, work-order triage, troubleshooting, root-cause analysis, and prescriptive reliability workflows.
• Design, build, and deploy AI agents and multi-agent workflows using large language models (LLMs), retrieval-augmented generation (RAG), vector search, tool/function calling, workflow orchestration, and secure API integrations.
• Integrate agentic workflows with CMMS/EAM, maintenance, asset, IoT, historian, PLC/SCADA, cloud, and enterprise data platforms while maintaining human-in-the-loop controls for higher-risk actions.
• Establish AgentOps, LLMOps, and MLOps practices for prompt/version management, agent evaluation, observability, guardrails, traceability, cost monitoring, model drift detection, and continuous improvement.
• Implement agentic AI safety, privacy, and security controls, including least-privilege access, data protection, prompt-injection mitigation, approval gates, audit trails, and responsible AI governance.
• Drive large-scale data science, ML/DL, and Agentic AI projects that leverage data transformation, machine learning models, LLM applications, and intelligent workflow automation.
• Develop first-class predictive maintenance tools, AI agents, and insights for customers by balancing data complexity, coding/visualization platforms, reliability requirements, risk controls, and client demands.
• Automate and streamline projects, reports, maintenance workflows, and agent-enabled decision processes to increase efficiency, scalability, and adoption.
• Develop alternative procedures, data products, agent tools, and processing methods to optimize data interactions, human-machine collaboration, and new insights.
• Contribute to storyboarding activities, developing recommendations for an executive-level audience, and producing leadership-quality deliverables.
• Manage and review ad hoc automation, AI agent, analytics, and information product support requests.
• Work closely with project management teams, IT professionals, reliability engineers, maintenance leaders, and business stakeholders to identify opportunities for AI agents, ML models, and automation to enhance maintenance execution and project management.
• Document project requirements, methodologies, architecture decisions, agent workflows, evaluation results, risks, and outcomes. Prepare technical reports, presentations, and user guides to effectively communicate AI/ML/Agentic AI solutions to stakeholders.
• Stay updated with the latest advancements in AI/ML, Agentic AI, LLMs, RAG, vector search, orchestration frameworks, and industrial automation. Conduct research and experiments to explore new approaches and improve existing models and agents.
• Ensure compliance with ethical standards and legal requirements when dealing with sensitive data, privacy, bias, explainability, autonomy, human oversight, and potential misuse of AI/ML models or AI agents.
• Share expertise in AI/ML, Agentic AI, responsible automation, and insights with colleagues, stakeholders, and team members. Conduct training sessions or workshops to facilitate effective utilization of machine learning programs, AI agents, libraries, and governance practices.
Qualifications:
Required:
• 5-7 years - Experience in Python, R, or another programming language
• 5-7 years - Experience with TensorFlow, PyTorch, scikit-learn, or comparable ML frameworks
• 3-5 years - Experience in Industrial ML, Automation, Data Science, AI, or related fields
• 3-5 years - Experience with cloud computing platforms such as AWS, Azure, or GCP
• 2-4 years - Experience with natural language processing (NLP), LLM applications, prompt engineering, or retrieval-augmented generation (RAG)
• 2-4 years - Experience designing or deploying Agentic AI solutions, AI agents, RAG applications, LLM-powered workflows, or intelligent automation
• 2-4 years - Experience with agent orchestration and LLM application frameworks or platforms such as LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, Azure AI Foundry, OpenAI API, or equivalent
• 3-5 years - Experience with Deep Learning, Computer Vision, Reinforcement Learning, or advanced predictive modeling
• 2-4 years - Experience with ethical, legal, privacy, security, and responsible AI considerations in machine learning and agentic AI systems
• 2-4 years - Experience implementing AI guardrails, prompt/agent evaluation, telemetry, human-in-the-loop review, and model or agent monitoring
• Experience may include a combination of work experience and education
Preferred:
• 7-10 years - Experience in Python, R, or another programming language
• 7-10 years - Experience with TensorFlow, PyTorch, scikit-learn, or comparable ML frameworks
• 5-7 years - Experience in Industrial ML, Automation, Data Science, AI, or related fields
• 5-7 years - Experience with cloud computing platforms such as AWS, Azure, or GCP
• 3-5 years - Experience with natural language processing (NLP), LLM applications, prompt engineering, or retrieval-augmented generation (RAG)
• 3-5 years - Experience leading production Agentic AI, LLM, RAG, or multi-agent orchestration initiatives in industrial, manufacturing, maintenance, reliability, or enterprise operations environments
• 5-7 years - Experience with Deep Learning, Computer Vision, Reinforcement Learning, or advanced predictive modeling
• 3-5 years - Experience with ethical, legal, privacy, security, and responsible AI considerations in machine learning and agentic AI systems
• 3-5 years - Experience with AgentOps/LLMOps practices, including monitoring, evaluation, versioning, safety testing, audit trails, and cost/performance optimization
• Experience may include a combination of work experience and education
Company:
Niagara Bottling provides bottled water and bottled sports drinks. Founded in 1963, the company is headquartered in Philadelphia, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Niagara Bottling employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Niagara Bottling logo

About Niagara Bottling

Sourced by ZipRecruiter

Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. Nielsen +/biNyDGcAS61OV0GIrHcWTOCFo= Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! NielsenIQ /xHzLYOL7B5gJKeErHR5OpVt2Os= NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape. Nike weB0VQ7iUwaCHWNipwHEhUU5oFo= Our purpose is to unite the world through sport to create a healthy planet, active communities, and an equal playing field for all. In order to stay at the top of our game, we're always looking to level-up with outstanding people who provide the kind of above-and-beyond service that inspires Nike fans for life! NOCD qMdV2+zQfKcKckWjOX3hDGP8fkM= NOCD is the #1 telehealth provider for the treatment of obsessive-compulsive disorder (OCD). OCD is one of the most severe, prevalent, and misunderstood mental health conditions. NOCD creates access to online therapy for people with OCD through our telehealth platform. In the NOCD app, members can quickly access and schedule live, face-to-face video therapy sessions with our national network of licensed therapists that specialize in Exposure and Response Prevention Therapy (ERP) - considered the gold standard" in OCD treatment. At NOCD, we help people reclaim their lives with clinically proven OCD treatment, by removing barriers to OCD care, and reducing the stigma associated with OCD. We're changing the world and need other like-minded individuals to accelerate and expand our efforts.

Industry

Food and beverage stores

Company size

5,001 - 10,000 Employees

Headquarters location

Diamond Bar, CA, US

Year founded

1963

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