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Senior Data Annotation Analyst Jobs in Oregon (NOW HIRING)

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Job Summary The Senior Data Architect is a senior technical leader responsible for defining ... Develop and optimize complex SQL solutions for large-scale analytical workloads, data ...

Senior Data Architect

Odell, OR

$69 - $92.25/hr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 9 AM-5:30 PM Scheduled ... The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

$85K - $108K/yr

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 ...

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Analyze existing data stores and interfaces to support current state and future data models * Work ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... Create and refine predictive models (Bayesian inference, regression analysis, time-series ...

Showing results 21-40

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

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?

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.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

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 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 Analyst - Financial Analytics

FormFactor, Inc.

Portland, OR • On-site

$132 - $174/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


FormFactor rating

6.7

Company rating: 6.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Forming Our Future togetherFormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.Shift:The regular hours for this position are day shift.Job Description:We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in building and implementing a robust financial analytics function within Finance. This role will leverage best practices in data modeling, visualization, and analytics to deliver actionable insights that inform strategic decision-making across the enterprise.The ideal candidate will combine strong technical expertise with business acumen, working closely with Finance leadership, business units, and cross-functional teams to elevate the company’s financial analytics capabilities. This individual will have hands-on experience with key data analytics approaches and competencies, including but not limited to experience with Power BI, Tableau, Oracle Analytics Cloud, Qlik (or similar), Python, SQL and similar.Key Responsibilities:Financial Analytics DevelopmentPartner with Finance leadership to design, implement, and scale a financial analytics framework that enhances forecasting and business performance.Build advanced data models to evaluate financial and operational performance, enabling deeper insight into revenue, margins, and key drivers.Translate complex financial data into clear, actionable insights that support executives, BU leaders, and operational teams.Identify opportunities to embed predictive and diagnostic analytics into financial decision-making.Data Visualization & ReportingDevelop and maintain dashboards and reporting tools that provide timely, accurate, and relevant information to stakeholders.Standardize financial reporting metrics, hierarchies and master data definitions, ensuring consistency across business units and corporate functions.Leverage visualization tools (e.g., Power BI, Tableau, Oracle Analytics, or similar) to create intuitive, data-driven storytelling for executive audiences.Collaboration & Business PartnershipWork closely with business unit finance teams, Global Sales, and Corporate FP&A to ensure alignment on financial data and insights.Partner with IT and data engineering teams to improve data infrastructure, data quality, and governance for financial analytics.Support the adoption of data-driven decision-making across Finance by coaching and mentoring colleagues in analytics best practices.Continuous Improvement & Best PracticesEvaluate and introduce leading practices in financial analytics, modeling, and visualization.Recommend enhancements to forecasting and planning processes using analytics-driven approaches.Drive automation and efficiency in data preparation and reporting workflows.For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, KY, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in the job location.Skills:Corporate Finance, Data Analysis, Developing Financial Models, Financial Reporting and Analysis, Financial Systems Development, Forecasting, Visualization TechniquesEducation & Experience:Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience | RequiredPay Range:$132,400.00 - $173,775.00Pay Range Explained:This role in Portland, Oregon pays between $132,400.00 and $173,775.00 per year, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.Equal Employment Opportunity StatementFormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, KY, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in the job location. #J-18808-Ljbffr

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