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Ai Data Trainer Amazon Jobs in Rialto, CA (NOW HIRING)

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform complex injury data into actionable strategies that protect associates and optimize work ...

Q&A content, comparison data, and use-case-driven feature descriptions, optimized for Amazon Alexa+ for Shopping and AI shopping assistants. * Advance D2C catalog and syndicated content toward full ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

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Ai Data Trainer Amazon information

See Rialto, CA salary details

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How much do ai data trainer amazon jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai data trainer amazon in Rialto, CA is $31.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $35.67 per hour, depending on experience, location, and employer.

What is an AI data trainer Amazon?

An AI Data Trainer at Amazon is responsible for labeling, annotating, and curating datasets used to train machine learning models. This role involves reviewing AI-generated outputs, ensuring accuracy, and improving model performance through high-quality data inputs. Trainers often work with natural language processing (NLP) tasks, image recognition, or other AI-related projects. Strong attention to detail and familiarity with AI concepts are essential for success in this role.

What does an AI data trainer Amazon do?

As an AI Data Trainer at Amazon, your daily tasks typically involve labeling and annotating datasets, verifying data quality, and identifying patterns or inconsistencies that could impact AI model development. You will frequently collaborate with data scientists, engineers, and fellow trainers to refine annotation guidelines and resolve ambiguous cases. Regular feedback loops and team meetings are common, ensuring the data you help curate meets project standards and deadlines. Over time, you'll develop a deep understanding of the data pipeline and may have opportunities to take on supervisory or process-improvement roles as you gain experience.

What are the key skills and qualifications needed to thrive as an AI data trainer Amazon?

To excel as an AI Data Trainer at Amazon, a solid background in data annotation, machine learning concepts, and attention to detail is essential, often supported by a degree in computer science or related fields. Experience with annotation platforms (like Amazon SageMaker Ground Truth), familiarity with data labeling tools, and knowledge of QA processes are frequently required. Strong communication, collaboration, and problem-solving abilities help individuals contribute effectively in cross-functional teams. These competencies are crucial for ensuring accurate, high-quality training data that directly impacts the performance of Amazon's AI models.

How do I become an AI Data Trainer Amazon?

To become an AI Data Trainer at Amazon, candidates typically need a background in data analysis, machine learning, or related fields, along with strong attention to detail and language skills. Experience with data annotation tools and understanding of AI model training processes are also beneficial. Relevant certifications or training in data management and AI can improve prospects for this role.

How much do AI Data Trainers at Amazon make?

AI Data Trainers at Amazon typically earn between $15 and $25 per hour, depending on experience and location. The role often involves tasks like data annotation, quality assurance, and working with machine learning models, sometimes requiring familiarity with tools like Amazon Mechanical Turk or SageMaker.

What job categories do people searching Ai Data Trainer Amazon jobs in Rialto, CA look for?

The top searched job categories for Ai Data Trainer Amazon jobs in Rialto, CA are:

What cities near Rialto, CA are hiring for Ai Data Trainer Amazon jobs?

Cities near Rialto, CA with the most Ai Data Trainer Amazon job openings:

Senior Staff Research Data Scientist, AI Data (Mountain View)

Google Inc.

Victorville, CA • On-site

Full-time

Re-posted 16 hours ago


Key responsibilities

  • Work with large, complex data sets and solve complex and ambitious data science problems.

  • Share and present findings to executive stakeholders, defend work, and influence strategy and product direction.

  • Interact cross-functionally with product and model teams to identify opportunities and develop methodologies to improve model performance.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Senior Staff Research Data Scientist, AI Data
  • link Copy link

corporate_fare Google Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
Preferred qualifications:
  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
About the job

Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems. If you're passionate about data and want to shape the trajectory of AI, your journey starts here.

As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI. Your ability to translate challenges into strategic opportunities will be critical as you collaborate closely with senior stakeholders.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

  • Work with large, complex data sets and solve complex and ambitious data science problems.
  • Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
  • Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
  • Define key metrics to measure success in various shapes and forms.
  • Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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