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Data Annotation Ai Trainer Jobs in Oregon (NOW HIRING)

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...

Staff AI Engineer, Perception

Salem, OR ยท On-site +1

$207K - $323K/yr

Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...

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 ...

Showing results 21-40

Data Annotation Ai Trainer information

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to minimum wage, while experienced trainers with specialized skills can earn higher wages, especially when working on large datasets or with advanced annotation tools.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by technology companies and AI service providers. However, job seekers should verify the employer's credibility to avoid scams.
What job categories do people searching Data Annotation Ai Trainer jobs in Oregon look for? The top searched job categories for Data Annotation Ai Trainer jobs in Oregon are:
What cities in Oregon are hiring for Data Annotation Ai Trainer jobs? Cities in Oregon with the most Data Annotation Ai Trainer job openings:
Infographic showing various Data Annotation Ai Trainer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Product Development Chemist - AI Trainer - Remote

micro1 AI

Hillsboro, OR โ€ข Remote

$70 - $90/hr

Part-time

Posted 9 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.