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Ai Research Assistant Jobs in Riverside, CA (NOW HIRING)

AI Rendering & Creative Production Assistant (Entry Level) We are looking for a motivated and ... Research tile trends, interior design styles, and installation methods to help create realistic and ...

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Ai Research Assistant information

See Riverside, CA salary details

$8

$22

$33

How much do ai research assistant jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai research assistant in Riverside, CA is $22.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.59 per hour, depending on experience, location, and employer.

How to become an AI research assistant?

To become an AI research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, often holding a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks, and familiarity with research methodologies are essential. Gaining experience through internships, contributing to research projects, and staying updated with current AI advancements can improve job prospects.

What are some common challenges faced by AI Research Assistants when working on collaborative projects?

AI Research Assistants often collaborate with multidisciplinary teams, including data scientists, software engineers, and senior researchers. One common challenge is ensuring clear communication of complex technical findings to team members with varying expertise. Balancing multiple projects with competing deadlines can also be demanding, requiring strong organizational skills. Additionally, rapidly evolving research topics may necessitate frequent upskilling and adaptability to new tools and methodologies.

What is an AI Research Assistant?

An AI Research Assistant is a professional who supports artificial intelligence research projects by performing tasks such as data collection, literature reviews, running experiments, and analyzing results. They often work alongside AI researchers and engineers to help develop new algorithms, models, or applications in machine learning and related fields. The role may involve programming, using statistical tools, and staying updated on the latest advancements in AI. AI Research Assistants are commonly found in academic, corporate, or research lab environments. Their work is crucial for advancing the field and supporting innovation in AI.

What is the difference between Ai Research Assistant vs Data Scientist?

AspectAi Research AssistantData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academic settingsBusiness, tech companies, analytics teams
Industry UsageAI research projects, academic research, R&D departmentsData analysis, predictive modeling, business insights
Common Search IntentUnderstanding AI research roles, entry-level AI research jobsData analysis careers, data-driven decision making

While both roles involve working with data and algorithms, an Ai Research Assistant primarily supports AI research projects, focusing on developing and testing AI models. A Data Scientist, on the other hand, analyzes data to generate insights and inform business decisions. The roles often overlap in skills and credentials but differ in their core focus and work environment.

What are the key skills and qualifications needed to thrive as an AI Research Assistant, and why are they important?

To thrive as an AI Research Assistant, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with research teams and interpret complex results. These skills are essential for contributing to innovative AI projects, ensuring accurate research outcomes, and supporting the advancement of artificial intelligence.

How much do AI research assistants make?

AI research assistants typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in machine learning and data analysis can earn higher salaries, especially in research-intensive environments.

What are popular job titles related to Ai Research Assistant jobs in Riverside, CA?

For Ai Research Assistant jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Research Assistant jobs in Riverside, CA look for?

The top searched job categories for Ai Research Assistant jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Research Assistant jobs?

Cities near Riverside, CA with the most Ai Research Assistant job openings:

Infographic showing various Ai Research Assistant job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $47,543 per year, or $22.9 per hour.

Equity Research Analyst - AI Trainer

DataAnnotation

Ontario, CA โ€ข Remote

$50 - $100/hr

Contractor

Re-posted 2 days ago


Job description

About the job:

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

• Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

• Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

• Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

• Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contractor position.

#finance


Working at DataAnnotation

Perks for workers

  • Work From Anywhere

  • Set Your Own Hours

  • Competitive Pay

  • Learn Valuable AI Skills

  • No Meetings. No Commute.

  • Work on Your Schedule

  • Make a Real-World Impact

What to expect from working at DataAnnotation

From DataAnnotation