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Internship Remote Data Annotation Jobs in Remote, OR

Prointegrate LLC

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

OR · Remote

$16 - $17/hr

Experience in data annotation, AI quality evaluation, content moderation, or a related role is ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

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Prointegrate LLC

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Senior Accountant Expert ($58 - $110USD/Hr) Remote Apply using link

OR · Remote

$58 - $110/hr

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 ...

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Butler America Aerospace

Gearbox Design SME

OR · Remote

$70 - $90/hr

Remote Job ID: #72283 Pay Range: $70-90 AN HOUR Ongoing Statement of Work Citizenship Requirement ... data development. o Gears, Bearings, Shafts, Housings sizing/design * Must have experience in ...

All JobsData Annotation JobsInternship Remote Data Annotation JobsInternship Remote Data Annotation Jobs in Remote, OR

Internship Remote Data Annotation information

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$12

$22

$42

How much do internship remote data annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship remote data annotation in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.

What does a remote data annotation intern do, and how is performance evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What skills and qualifications are needed to thrive as a remote data annotation intern?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

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

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

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

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Internship Remote Data Annotation jobs near you
Infographic showing various Internship Remote Data Annotation job openings in Remote, OR as of August 2026, with employment types broken down into 66% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

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

Prointegrate LLC

OR • Remote

$16 - $17/hr

Contractor

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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.