1

Data Annotation Ai Trainer Jobs in Remote, OR (NOW HIRING)

Be Seen First

Experience in data annotation, AI quality evaluation, content moderation, or a related role is ... training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM ...

New

Be Seen First

Support the development and evaluation of data sets for AI training, leveraging your prior experience with human data processes such as data labeling, annotation, or model evaluation. Preferred ...

New

Head of AI

OR · Remote

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 ...

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

Be Seen First

Step 1 -- Prepare for the AI Interview Please review the interview preparation guide before ... data efficiently for model training and validation. * Collaborate with cross-functional ...

Senior Lead Architect

OR · Remote

$132K - $176K/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 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... their data and infrastructures, while meeting regulatory requirements. With more than 54,000 ...

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos ... Conduct performance discussions, training, and career development activities. Foster a culture of ...

Senior Manager, Privacy (Legal)

OR · On-site +1

$160 - $180K/hr

This ensures responsible data is used to support business objectives and plays a critical role in ... Develop training and workflows for privacy assessments and RoPAs. * Maintain the Privacy Intranet ...

... leveraging agentic AI capabilities and India-based resource pooling to enhance efficiency ... Build the pod talent strategy - hiring, leveling, career path, cross-training, succession * Drive ...

next page

Showing results 1-20

Data Annotation Ai Trainer information

See Remote, OR salary details

$13

$24

$36

How much do data annotation ai trainer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data annotation ai trainer in Remote, OR is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.39 per hour, depending on experience, location, and employer.

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 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.

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.

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. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

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 tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

What are popular job titles related to Data Annotation Ai Trainer jobs in Remote, OR?

For Data Annotation Ai Trainer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Data Annotation Ai Trainer jobs in Remote, OR look for?

The top searched job categories for Data Annotation Ai Trainer jobs in Remote, OR are:

What cities near Remote, OR are hiring for Data Annotation Ai Trainer jobs?

Cities near Remote, OR with the most Data Annotation Ai Trainer job openings:

Infographic showing various Data Annotation Ai Trainer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $51,403 per year, or $24.7 per hour.

LLM -AI Quality Analyst (Personalization) - English - REMOTE USA

Prointegrate LLC

OR • Remote

$16 - $17/hr

Contractor

Posted 2 days ago

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

Role: LLM -AI Quality Analyst (Personalization) - English (NO C2C - Only freelancers can apply)

YoE: 1 year

Engagement Type: Short Term Contract (4 month)

Start Date: Immediately 

Skill: Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Availability: Full Time Availability(8 Hrs) and 4 hours overlap with the PST time zone for US


About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications

  • English Proficiency: Ability to read and write in English with a high degree of comp, as English is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.

Description:

  • In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience

  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:

  • Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
  • Engagement type: Contractor

Evaluation Process -

  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‐onboarding requirements.