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Data Annotation For Ai Jobs in Bend, OR (NOW HIRING)

micro1 AI

Medical Writing Manager

Bend, OR · Remote

$50 - $80/hr

... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Jobs for Humanity

Speakers/Writers

Bend, OR

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

DataAnnotation

M&A Associate - AI Trainer

Bend, OR · Remote

$50 - $100/hr

Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English * Detail-oriented * Proficient in financial analysis, financial modeling, data analysis ...

DataAnnotation

FP&A Manager - AI Trainer

Bend, OR · Remote

$50 - $100/hr

Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English * Detail-oriented * Proficient in financial analysis, financial modeling, data analysis ...

Integrated 3D

IT & Automations Manager

Redmond, OR

$90K - $100K/yr

Support system implementations, upgrades, integrations, data management, testing, and user adoption ... AI Enablement & Governance Serve as a key point of contact for evaluating and introducing AI tools ...

i3D MFG

IT & Automations Manager

Redmond, OR · On-site

$90K - $100K/yr

... data management, testing, and user adoption initiatives as part of a broader project team. • Work ... AI Enablement & Governance • Serve as a key point of contact for evaluating and introducing AI ...

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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Infographic showing various Data Annotation For Ai job openings in Bend, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Medical Writing Manager

micro1 AI

Bend, OR • Remote

$50 - $80/hr

Part-time

Posted 6 days ago

Job description

Role Title: Medical Writer / Clinical Document Author


Role Type: Contractor


Location: Remote


micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer’s project focused on developing advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review realistic evaluation tasks based on Clinical Study Reports, DSURs, PSURs/PBRERs, and related clinical documents to inform AI tool development.
  2. Apply expert judgment to assess whether AI-generated content fulfills clinical template and structural requirements, including ICH E3 organization, section sequencing, cross-referencing, and appendix management.
  3. Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion, and conclusions, distinguishing true scientific or interpretive errors from stylistic differences.
  4. Trace narrative claims to source records—tables, figures, listings, and protocols—to verify that all assertions are appropriately supported.
  5. Provide clear and structured written rationales for each assessment, enabling precise diagnosis and improvement of AI model behavior.
  6. Collaborate with project leads to refine evaluation frameworks and document best practices for clinical regulatory writing in the context of AI.


Preferred Qualifications

  1. Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant.
  2. Direct experience independently authoring or leading the authoring of full Clinical Study Reports, beyond summaries or partial contributions.
  3. Fluency with ICH E3 and conventions for periodic safety documentation (ICH E2F, ICH E2C) and eCTD placement.
  4. Demonstrated ability to read and interpret TFLs and protocol documents, identifying where narrative diverges from source data.
  5. Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content.
  6. Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience.
  7. Experience across multiple clinical phases and therapeutic areas; oncology and haematology expertise is especially valued.


Join our customer's team and leverage your authoring expertise to help design the next generation of AI-assisted clinical documentation solutions. This high-bar role offers you the chance to shape how tomorrow's writing teams draft and review regulatory documents — through your expert input, judgment, and real-world experience.

Apply