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Ai Data Training Jobs in Remote, OR (NOW HIRING)

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... AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements:

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... AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements:

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... AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements:

Head of AI

OR · On-site +1

Reports to: Head of Data & AI - North America * Direct reports: AI practice leadership team ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

Head of AI

OR · On-site +1

Reports to: Head of Data & AI - North America * Direct reports: AI practice leadership team ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

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AI Engineer

OR · Remote

Develop APIs and backend services that connect front-end applications with AI/ML models and data ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

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AI Engineer

OR · Remote

Develop APIs and backend services that connect front-end applications with AI/ML models and data ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

Build integrations with customer systems, data sources, and enterprise applications * Rapidly ... Travel regularly to customer sites across the United States for workshops, deployments, training ...

Drive AI adoption through demos, training, office hours, onboarding resources, reusable examples ... Use data and feedback to refine AI enablement strategies, retire low-value initiatives, and scale ...

Strong understanding of security, access control, data handling, compliance, responsible AI ... training. Privacy Notice Lumen is committed to protecting the privacy and security of personal ...

Senior Software Developer

OR · Remote

$84K - $112K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... data models, testing results, and support procedures. * Conduct end-user and technical training ...

Security Architect

OR · On-site +1

$61 - $78.75/hr

... data management. From product development to implementation, our unified Enterprise Imaging ... AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI ...

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... and training. By applying for this job, you agree to receive calls, AI-generated calls, text ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ...

... data and infrastructure connect and protect organizations in the AI era - and beyond. We've been ... training. The full salary range for certain locations is listed below. For locations not listed ...

Senior Software Engineer, Backend

Roseburg, OR · On-site +1

$165K - $241K/yr

... data and infrastructure connect and protect organizations in the AI era - and beyond. We've been ... training. The full salary range for certain locations is listed below. For locations not listed ...

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Ai Data Training information

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 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 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 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 are popular job titles related to Ai Data Training jobs in Remote, OR? For Ai Data Training jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Ai Data Training jobs in Remote, OR look for? The top searched job categories for Ai Data Training jobs in Remote, OR are:
Infographic showing various Ai Data Training job openings in Remote, OR as of July 2026, with employment types broken down into 5% Internship, 67% Full Time, 22% Part Time, and 6% Contract. Highlights an 58% In-person, and 42% Remote job distribution.

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 18 days ago

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Job description

APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter
We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems.

Requirements:

  • Fluent or native-level Korean
  • Strong attention to detail
  • Reliable internet connection and computer access
  • Ability to follow written instructions
  • Previous AI or data-labeling experience is helpful but not required

This is flexible, remote, project-based work. Task availability and compensation may vary by project, and all details will be shown before you begin.
APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter

Company Description

Total AI is a technology company focused on building high-quality, human-generated datasets that support AI training, evaluation, and research.

Our projects may include voice recordings, language-based tasks, content review, data labeling, and response evaluation. This work helps AI systems better understand different languages, accents, communication styles, and real-world situations. We work with contributors from diverse backgrounds and provide clear instructions for every project.