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Assistant Ai Labeling Jobs (NOW HIRING)

AI Labeler, Wood Science

Corvallis, OR ยท On-site

$25 - $27/hr

Key Responsibilities Image Labeling & AI Support * Label lumber images for specific traits and ... Work closely with the AI team, Grading Support, and other labelers to ensure consistency. * Assist ...

New

AI Labeler, Wood Science

Corvallis, OR ยท On-site

$25 - $27/hr

Key Responsibilities Image Labeling & AI Support * Label lumber images for specific traits and ... Work closely with the AI team, Grading Support, and other labelers to ensure consistency. * Assist ...

New

$6 - $18/hr

You will participate in audio/video recording tasks that may involve speaking, labeling, reviewing ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

This is a highly visible, high-impact role where you will bridge the gap between bleeding-edge AI ... Experience applying models to reduce or assist human effort in a labeling workflow, such as ...

This is a highly visible, high-impact role where you will bridge the gap between bleeding-edge AI ... Experience applying models to reduce or assist human effort in a labeling workflow, such as ...

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Assistant Ai Labeling information

See salary details

$29K

$48.4K

$69.5K

How much do assistant ai labeling jobs pay per year?

As of Sep 2, 2026, the average yearly pay for assistant ai labeling in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.

What is an assistant AI labeling?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are the key skills and qualifications needed to thrive as an assistant AI labeling?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

What are some common challenges faced by assistant AI labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

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Infographic showing various Assistant Ai Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $48,396 per year, or $23.3 per hour.

AI Labeler, Wood Science

MiCROTEC INC

Corvallis, OR โ€ข On-site

$25 - $27/hr

Full-time

Posted yesterday

New


Job description

Description

About Us

MiCROTEC is a high-tech company and global leader in wood scanning solutions. Founded in 1980 and headquartered in Bressanone, Italy, MiCROTEC has offices in Sweden, Germany, Finland, Canada, and the United States. We partner with some of the world's largest sawmills and wood processing companies to help optimize production, improve product value, and support more sustainable wood utilization.


Our team is driven by innovation and a passion for advancing the wood processing industry through cutting-edge technologies including CT (Computed Tomography), X-ray, visual scanning, deep learning, artificial intelligence, and stereoscopic imaging.


As the world's leading provider of wood scanning solutions, we offer meaningful opportunities for professional growth and development within a collaborative, global organization. Our core values - Customer Success, Innovation, Trust, Collaboration, and Passion for Excellence - guide everything we do. If those values resonate with you, we invite you to become part of our team.


Job Summary

ย The AI Labeler supports the Artificial Intelligence team by labeling targeted characteristics on images and evaluating AI-generated outputs to ensure accuracy in detecting wood types, traits and defects. This role involves processing large datasets, analyzing images coming from MiCROTEC products, ensuring labeling accuracy, and collaborating with the AI and Grading teams to improve model performance.


Key Responsibilities

Image Labeling & AI Support ย 

  • Label lumber images for specific traits and characteristics (e.g., knot, decay, resin pocket, crack).
  • Ensure labeling standards and guidelines are met for each project.
  • Verify and analyze traits on physical boards, support data saving campaigns.
  • Assess AI-generated defect detection results to ensure deep learning model accuracy.
  • Collaborate and provide feedback to AI engineers to improve models.
  • Process and manage incoming datasets and data flow efficiently.

Collaboration & Communication

  • Work closely with the AI team, Grading Support, and other labelers to ensure consistency.
  • Assist in evaluating AI model performance, providing feedback on weak points.
  • Understand and implement either customer specifications or standard grading rules for image processing.
  • Submit labeled images for review and align adapting to the team's feedback.
  • Participate in team discussions in person or via Teams/Outlook.

Quality Control & Process Improvement

  • Review and verify the accuracy of labeled images from other labelers.
  • Continuously improve computer skills and technical knowledge related to the role.
  • Provide feedback and suggestions to improve labeling tools and processes.

Requirements

Skills & Abilities

  • Strong attention to detail and ability to maintain high accuracy.
  • Excellent time management and ability to manage multiple projects while meeting deadlines.
  • Proficiency in technology & software.
  • Ability to adapt quickly and learn new tools/processes.

Education & Experience

  • 2+ years of experience in wood science from any combination of work or academic studies.
  • Bachelor's degree in any field (preferred but not required).
  • Wood Grading Certification (bonus points).

Physical & Travel Requirements

  • Occasionally required to handle lumber samples in a lab setting.
  • May require occasional travel for job-related duties.

Location & Hours

This position is based onsite at our office in Corvallis, Oregon. Regular in-office presence is required. Some hybrid work (1-2 days per week) may be granted after an initial onboarding of 6 months.


The standard schedule for this position is full-time, Monday through Friday, 8:00 AM - 5:00 PM. Additional flexibility may occasionally be required to support customer or operational needs.


Pay

This role is Non-Exempt, meaning overtime is paid for any hours worked in excess of 40 per week. We anticipate the starting wage to fall between $25 - $27 per hour, depending on experience.


MiCROTEC Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are treated with respect and dignity. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other status protected under applicable federal, state, or local law.

MiCROTEC Inc. is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and during employment, in accordance with applicable laws.



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About MiCROTEC

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

51 - 200 Employees

Headquarters location

Corvallis, OR, US

Year founded

1985