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Flexible Data Annotation Analyst Jobs in Oregon (NOW HIRING)

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Drive root-cause analyses and systemic improvement initiatives. * Track project P&L, budget and POs ...

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ... Drive root-cause analyses and systemic improvement initiatives. * Track project P&L, budget and POs ...

Data annotation and quality review * Exploratory data analysis and model fail state analysis * Contribute to model governance, documentation, and explainability frameworks aligned with internal and ...

Experience with AI evaluation, data annotation, QA, trust and safety, or policy review * Exposure ... Flexible Time Off - Take the time you need to rest, recharge, and live your life. * Company-Wide ...

Support data annotation and quality validation activities * Maintain accurate operational records ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Support data annotation and quality validation activities * Maintain accurate operational records ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We offer vacation and sick leave benefits (under a flexible time off policy in most states ... Utilizes data visualization, statistical analysis, and reporting skills to present data to ...

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

Experience with MLOps such as (but not limited to) data annotation services, data storage, model ... Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. * Non-Exempt ...

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

Experience with MLOps such as (but not limited to) data annotation services, data storage, model ... Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. * Non-Exempt ...

OR

$85K - $100K/yr

The Sr. Analyst, Data Visualization role supports the delivery of one of our most impactful ... Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US ...

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

... tools, data annotation tools, dataset curation tools, result comparison tools, and more ... Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... You'll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings ...

Data Strategy & Analytics Consultant Contract Position | Remote/Hybrid (Flexible) | Immediate Need | $90,000-120,000 CFS Technology has partnered with a growing organization seeking a Data Strategy ...

Data Strategy & Analytics Consultant Contract Position | Remote/Hybrid (Flexible) | Immediate Need | $90,000-120,000 CFS Technology has partnered with a growing organization seeking a Data Strategy ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events ...

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Flexible Data Annotation Analyst information

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
What are the most commonly searched types of Data Annotation Analyst jobs in Oregon? The most popular types of Data Annotation Analyst jobs in Oregon are:
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English (US) Audio QA Annotation Specialist

MatchaTalent

Portland, OR • On-site, Remote

Full-time

Posted 20 days ago


Job description

This role requires the candidate to work remotely from the United States.


Client Overview

Our client is a global artificial intelligence technology company specializing in the development of advanced large language models (LLMs), speech recognition technologies, multilingual AI systems, and data annotation solutions. The organization collaborates with leading AI research laboratories and enterprise technology companies worldwide to accelerate the development of next-generation artificial intelligence through high-quality human-generated data.

Supporting a diverse portfolio of multilingual AI initiatives, the company works with language specialists, voice professionals, and annotation experts across the globe to improve the accuracy, contextual understanding, and performance of cutting-edge AI systems used in speech processing, conversational AI, and natural language understanding.


Job Role

The English (US) Audio QA Annotation Specialist is responsible for reviewing, evaluating, and validating English (US) audio recordings to ensure they meet the highest quality standards required for AI speech recognition and audio annotation projects.

Working as part of a multilingual quality assurance team, this role focuses on assessing recording accuracy, pronunciation, fluency, audio clarity, annotation consistency, and compliance with project guidelines. The successful candidate will help ensure that all approved audio data contributes effectively to the development of advanced multilingual AI speech technologies.


Key Responsibilities

  • Review and evaluate English (US) audio recordings for quality, pronunciation accuracy, clarity, and natural speech delivery.
  • Verify annotation accuracy and ensure all submitted recordings comply with project guidelines and quality standards.
  • Identify audio quality issues including background noise, recording inconsistencies, pronunciation errors, or technical defects.
  • Provide structured quality feedback and recommend improvements when recordings do not meet required standards.
  • Ensure consistency across annotated datasets by following established QA processes and evaluation criteria.
  • Collaborate with project reviewers and annotation teams to maintain high-quality multilingual datasets.
  • Maintain accurate documentation of review outcomes and quality assurance findings.
  • Support the continuous improvement of AI speech recognition models through high-quality audio validation.


Candidate Requirements

  • Native-level fluency in English (US) with excellent listening comprehension and pronunciation knowledge.
  • Minimum 1 year of experience in audio quality assurance, audio annotation, localization, transcription review, voice-over, dubbing, ADR, or related language quality roles.
  • Strong attention to detail with the ability to identify pronunciation, fluency, and audio quality issues accurately.
  • Excellent understanding of American English linguistic nuances, regional accents, grammar, and natural speech patterns.
  • Experience reviewing audio recordings and applying quality standards consistently.
  • Familiarity with audio editing or audio playback software is preferred.
  • Strong analytical skills with the ability to provide clear and actionable quality feedback.
  • Ability to work independently while meeting project deadlines and quality targets.


Job Code: #784