1

Senior Data Annotation Analyst Jobs in Oregon (NOW HIRING)

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's 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 ...

Senior Cloud Engineer

Odell, OR · On-site

$107K - $147K/yr

We are seeking an expert senior cloud engineer to build, enhance, and support a wide variety of ... Design, Develop and support data models and schemas to support data integration and analysis

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 ...

Senior Data Architect

Beaverton, OR

$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 ...

$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 Analytics Engineer

OR · On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

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 ...

We're looking for a Senior Data Scientist to lead high-priority, cross-functional data science and ... Analyze large, complex datasets to identify trends, patterns, opportunities, and actionable ...

OR · On-site

The Senior Data Scientist will lead the application of advanced analytics and applied data science techniques to support decision-making across pharmaceutical commercialization. This role combines ...

Senior Data Modeler

OR · On-site +1

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and ... The Senior Data Modeler designs and evolves high-quality data models across our modern data ...

OR

$106K - $125K/yr

OpenX Technologies, Inc. is looking for a Senior Data Analyst to join our dynamic and high-performing Business Intelligence team within the Finance organization. Our organization's mission is to ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

next page

Showing results 1-20

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:
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 Engineer

$105K - $150K/yr

Other

Posted 10 days ago


WellBe Senior Medical rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary

As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.

Job Description

SKILLS & COMPETENCIES

Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data pipeline strategy, aligning it with business objectives and ensuring data governance principles are followed. Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics. Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations. Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy. Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems. Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resources Stay updated with the latest technologies and trends in data analytics and engineering.

Job Requirements

Educational/Experience Requirements:

Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred. 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities. 3 years of experience in health care and health plan data analysis experience preferred. Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud. Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required. Experience with CI/CD Terraform or DevOps required. Snowflake data processing with Tasks and Procedures, DBT and GIT experience required. Experience building API data ingestion pipeline using Python in cloud service required. Knowledge of machine learning concepts and algorithms is a plus Strong leadership and team management skills, with the ability to motivate and develop team members. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Required Skills and Abilities: Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability. Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities. Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization. Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation. Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities. Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation. Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications. Implement best practices for data governance and ensure data security and compliance. Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus. Strong sense of ownership, bias for action, and drive Strong verbal and written communication Excellent analytical and problem-solving skills Strong work ethic and attention to detail

Physical and Mental Requirements Ability to stand/sit for extended periods. Visual acuity and fine motor skills. Ability to travel as needed.

Work Environment Remote Travel may be required up to 15% locally or nationally

Pay Transparency

$105,000 - $150,000 based on experience

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.

Drug Screening Requirement:As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. Ongoing employment may also be contingent upon compliance with the company's Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing. The company reserves the right to test for substances that may impair an employee's ability to safely and effectively perform their job duties.

Background Check StatementEmployment is contingent upon successful completion of a background check, as permitted by law. As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees. Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.

Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.

Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. If you require an accommodation during the application, interview or employment process, please contact Human Resources at HRPeopleLine@wellbe.com

At-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.

DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Employment Type: OTHER