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Ai Data Trainer Jobs in Oregon (NOW HIRING)

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

If you have deep roots in AI, data, or analytics-driven transformation, this is the role for you ... models, training curricula, stakeholder playbooks) * Mentor and develop a bench of change ...

As AI infrastructure becomes increasingly distributed, organizations need data platforms that support training, inference, and global collaboration without complex or expensive data replication.

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 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... specialized training and/or progressively responsible work experience in technology for each ...

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Ai Data Trainer information

See Oregon salary details

$14

$33

$67

How much do ai data trainer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai data trainer in Oregon is $33.03, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $37.60 per hour, depending on experience, location, and employer.

What is an AI data trainer?

An AI Data Trainer is responsible for labeling, annotating, and curating datasets used to train machine learning models. They ensure data quality and relevance by following guidelines to improve model accuracy. Their work involves reviewing AI outputs, providing corrections, and fine-tuning datasets to reduce biases. AI Data Trainers play a key role in enhancing the performance of AI systems across various applications.

What does an AI data trainer do?

As an AI Data Trainer, your day often involves carefully reviewing, labeling, and validating large datasets for use in machine learning models. You may work closely with data scientists, engineers, and fellow trainers to ensure data accuracy and resolve ambiguities. The role can also include developing annotation guidelines, providing quality feedback, and occasionally participating in team meetings to discuss process improvements. A typical work environment is collaborative and fast-paced, offering the opportunity to contribute directly to innovative AI projects while continually learning new tools and techniques.

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

To thrive as an AI Data Trainer, you need strong analytical skills, attention to detail, and experience with data labeling and annotation, typically supported by a background in computer science or data-related fields. Familiarity with annotation tools, machine learning concepts, and often platforms like Python or specialized data management software is usually required. Excellent communication, adaptability, and a collaborative mindset are valuable soft skills in this role. These qualifications are essential to ensure high-quality, accurate data preparation that directly impacts AI model performance and project success.

What are the most commonly searched types of Ai Data Trainer jobs in Oregon?

The most popular types of Ai Data Trainer jobs in Oregon are:

What job categories do people searching Ai Data Trainer jobs in Oregon look for?

The top searched job categories for Ai Data Trainer jobs in Oregon are:

What cities in Oregon are hiring for Ai Data Trainer jobs?

Cities in Oregon with the most Ai Data Trainer job openings:

Infographic showing various Ai Data Trainer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,707 per year, or $33 per hour.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Salem, OR

Full-time

Re-posted 21 days ago


Job description

About the Role

We are looking for Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems.

In this role, you will interact directly with robotic platforms, perform physical tasks, and generate high-quality demonstration data that helps train advanced AI models. Your work will contribute to the development of robots capable of performing real-world tasks in homes, warehouses, manufacturing facilities, and other environments.

Responsibilities
  • Operate robotic systems using teleoperation interfaces and specialized controllers
  • Perform demonstrations of physical tasks to generate training data
  • Execute repetitive tasks with a strong focus on consistency and quality
  • Follow detailed operational procedures and data collection protocols
  • Review recorded demonstrations and identify quality issues
  • Provide feedback on robot performance and task execution
  • Assist with robot setup, calibration, and workspace preparation
  • Maintain accurate records of completed activities
  • Meet daily productivity and quality targets
Example Tasks
  • Picking and placing objects
  • Sorting items into designated containers
  • Opening and closing containers of various sizes
  • Folding clothing and textiles
  • Performing assembly and manipulation tasks
  • Executing multi-step workflows involving tools and components
Requirements
  • Strong attention to detail
  • Good hand-eye coordination and manual dexterity
  • Ability to follow structured procedures
  • Comfortable performing repetitive tasks
  • Basic computer skills
  • Ability to stand or work at a station for extended periods
Nice to Have
  • Experience with robotics or automation systems
  • Manufacturing, assembly, laboratory, or technical experience
  • Gaming or simulation experience using controllers
  • Interest in AI, robotics, or emerging technologies

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.