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Data Annotation Ai Trainer Jobs in Oregon (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 ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Senior / Staff Software Engineer, Web Tools

OR ยท On-site +1

$141K - $249K/yr

... AI-first approach to enable safe self-driving at scale. - Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation ...

$114K - $137K/yr

This role focuses on feature engineering, training and inference workflows, model evaluation, model ... This role is accountable for turning trusted enterprise data into production AI and forecasting ...

OR

$193K/yr

... data center environments supporting machine learning workloads * Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics ...

$63.75 - $82/hr

Collaborate with data engineers, data scientists, software engineers, and product managers to ... No minimum education requirement specified; equivalent combination of technical training ...

New

AI Engineer

Portland, OR ยท On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

Job Summary We are seeking a skilled Data Scientist to support AI Strategy, Governance, and ... No minimum education requirement specified; equivalent combination of technical training ...

New

Showing results 41-60

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.

AI Training Specialist - Chemistry

micro1 AI

Portland, 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.