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Senior Data Annotation Analyst Jobs in Oregon (NOW HIRING)

Welocalize, Inc.

OR · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

OR · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Nike

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business ...

Welocalize, Inc.

OR

$16 - $20.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Aptive

$85K - $108K/yr

Job Summary Aptive seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights. The candidate must possess a deep ...

YipitData

OR · On-site

$85K - $108K/yr

As a Senior Data Analyst, you will: * Own high-impact data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.

Stride, Inc.

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

SUMMARY : The Senior Data Analyst will play a crucial role in the Stride Marketing Organization and will work cross functionally across marketing to help inform our marketing strategy, website ...

BECU

Sr Data Analyst

OR · Remote

$82K - $154K/yr

IMPACT YOU'LL MAKE As a Sr. Data Analyst focused on Debit Analytics,you'llplay a pivotal role in transforming how BECU understands, measures, and enhances the member experience through debit products.

Instacart

OR

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... As a Senior Data Scientist II, you'll own product strategy and AI expertise-identifying high-impact ...

Array

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will ...

EnableComp

OR

$85K - $108K/yr

Position Summary The Data Analyst responsibilities will include but not limited to quantitative analysis and predictive modeling of healthcare data to provide management with statistical findings and ...

Instacart

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

ICI Services

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Sprinklr

OR · On-site

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Use analytical rigor and statistical methods to analyze large amounts of data, extracting ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR

$91K - $115K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company's first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the companys first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company's first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work ...

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Senior Data Annotation Analyst information

What are Senior Data Annotation Analysts?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a Senior Data Annotation Analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

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:
What are popular job titles related to Senior Data Annotation Analyst jobs in Oregon? For Senior Data Annotation Analyst jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for Senior Data Annotation Analyst jobs? Cities in Oregon with the most Senior Data Annotation Analyst job openings:
Senior Data Annotation Analyst jobs near you
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

OR • On-site

Full-time

Posted 20 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

204th of 426 rated business services

Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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