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Ai Data Trainer Amazon Jobs in Boca Raton, FL (NOW HIRING)

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Document laboratory methodologies, data, and findings clearly and accurately, ensuring ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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Ai Data Trainer Amazon information

See Boca Raton, FL salary details

$12

$29

$60

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

As of Aug 10, 2026, the average hourly pay for ai data trainer amazon in Boca Raton, FL is $29.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $33.75 per hour, depending on experience, location, and employer.

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 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.

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.

How do I become an AI data trainer at Amazon?

To become an AI data trainer at Amazon, candidates typically need a background in data annotation, machine learning, or related fields, along with strong attention to detail and communication skills. Experience with data labeling tools and understanding of AI model training processes are also beneficial. Relevant certifications or training in data management can improve prospects for this role.
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Infographic showing various Ai Data Trainer Amazon job openings in Boca Raton, FL as of June 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $61,668 per year, or $29.6 per hour.

AI Training Specialist - Chemistry

micro1 AI

Pembroke Pines, FL โ€ข Remote

$70 - $90/hr

Part-time

Posted 11 days ago


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.