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Ai Data Training Jobs in Oregon (NOW HIRING)

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

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 ...

phData

Director, AI Adoption & Change Management

OR · On-site +1

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 ...

Aptos

Head of Enterprise GTM - Shelby Platform

OR · On-site +1

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

Teledyne

AI Solution Analyst

Wilsonville, OR

Cloud/SaaS security concepts AI & Data Literacy * Working understanding of large language models (LLMs), embeddings, RAG pipelines, and AI agent concepts (training not required, but literacy is ...

Meta

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 ...

Pwc

US Tech - AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

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 Training information

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

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

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What are some common challenges faced in AI data training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Ai Data Training jobs in Oregon?

For Ai Data Training jobs in Oregon, the most frequently searched job titles are:

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

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

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

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

Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in Oregon as of August 2026, with employment types broken down into 4% Internship, 71% Full Time, 21% Part Time, and 4% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Salem, OR • On-site

Full-time

Re-posted 24 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.