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Remote Data Tagging Jobs in Oregon (NOW HIRING)

... remote in the U.S. As the Lead eCommerce Analyst, you will spearhead analytics strategy and ... Ensure robust data collection, tagging, and governance across analytics platforms and tools.

Controls Design Engineer

OR · Remote

$113.76K - $142.20K/yr

This role is remote. What You'll Do (Key Responsibilities) Controls Package Ownership (Deliverables ... Standardize naming/tagging conventions and data models so every build looks the same to operators ...

Paid Search Senior Specialist

OR · Remote

$70K - $80K/yr

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Maintain data integrity (tagging, feeds, tracking); partner with Analytics to validate reads and ...

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Execute tagging and feed QA checklists; partner with Analytics to validate reads and resolve ...

By connecting people, data, and applications quickly, securely, and effortlessly, we help ... Location This role is designated as a fully remote position within the United States. The Main ...

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Data & MeasurementDriven * Install strong, simple measurement habits: growthfirst innovation with ...

Remote Data Tagging information

What are the key skills and qualifications needed to thrive as a Remote Data Tagging Specialist, and why are they important?

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.

What jobs make $3,000 a month without a degree?

Remote data tagging jobs can pay around $3,000 per month for individuals who have strong attention to detail and basic computer skills. These roles often require minimal formal education, rely on online platforms, and may involve flexible schedules, making them accessible for those without a degree.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What are popular job titles related to Remote Data Tagging jobs in Oregon? For Remote Data Tagging jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Tagging jobs in Oregon look for? The top searched job categories for Remote Data Tagging jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Tagging jobs? Cities in Oregon with the most Remote Data Tagging job openings:
Senior Marketing Operations Manager (Platform and Automation)

Senior Marketing Operations Manager (Platform and Automation)

Public Library of Science

On-site, Remote

$85K - $95K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

*This position is fully remote/home based. Applications will be accepted from candidates based in the UK and the following US states: FL, IL, MA, MD, NY, PA, TX, VA.Role Summary

The Senior Marketing Operations Manager - Platform & Automation is responsible for the optimization and day-to-day governance of our use of the HubSpot platform. This role ensures that our marketing campaigns are scalable, data is reliable, and automation drives efficiency and effectiveness across campaigns. Collaborating cross-functionally, this position is central in enabling high-performing marketing programs through robust infrastructure and data integrity.

Supervisor Responsibilities

Line management of the Email Marketing Manager.

Responsibilities
  • Lead the architecture, implementation, and optimization of marketing workflows, appropriate use of lead scoring models, automations, and nurture programs in HubSpot.
  • Own platform integrations between HubSpot and tools such as Google Ads, LinkedIn, social media, and other marketing platforms.
  • Collaborate with the Reporting, Insights & Analysis Manager to ensure structures, systems, and tagging support accurate reporting and attribution.
  • Supports the Reporting & Insights Manager with data accessibility, cleanliness, and technical enablement.
  • Partner with the Senior Marketing Operations Manager (Digital) and their team to ensure seamless automation and triggered communications across email, web, social, and advertising.
  • Maintain high data hygiene standards, governance, and compliance with privacy regulations (e.g., GDPR, CAN-SPAM).
  • Define and document best practices and operational processes for marketing systems use.
  • Evaluate and implement new HubSpot features and third-party integrations to improve marketing performance and operational efficiency.
  • Support training, onboarding, and platform enablement across the marketing and communications team.
  • Manage and support the Email Marketing Manager to deliver their responsibilities, coaching them and developing them.
Knowledge and Skills
  • Deep marketing experience and advanced expertise in HubSpot.
  • Proven track record of developing scalable marketing automation and lead management systems.
  • Strong understanding of marketing data structure, lead lifecycle, segmentation, and attribution.
  • Technical aptitude in APIs, tagging strategies, and automation workflows.
  • Excellent collaboration skills with both technical and non-technical teams.
  • Detail-oriented with strong documentation and project management capabilities.
  • Experience managing complex lead flows and attribution modeling.
Qualifications
  • Bachelor's degree in Marketing, Data Analytics, or a related field; or equivalent experience
Physical Requirements & Work Environment
  • Prolonged periods stationary at a desk and working on a computer
  • Some national and international travel may be required occasionally
  • Some flexibility to work across time zones

The base salary range we've established for these positions is (US): $85,000-$95,000 or (UK) 58,000- 65,500. PLOS also offers a comprehensive benefits package summarized below. 

BENEFITS: 

US:

  • 401k with employer match
  • Employee sponsored health, dental and vision insurance (Dental and Vision 100% employer paid)
  • Paid Vacation, 11 public holidays and sick leave
  • Parental leave
  • Birthday and three winter holidays days off
  • Short term and long term disability insurance
  • 2 days paid time off for volunteering per year
  • Fully remote work environment with stipend on joining for home office 

UK: 

  • Private medical insurance 
  • Life assurance 
  • Income protection 
  • Personal accident insurance 
  • Pension with up to 10% employer match 
  • 25 days holidays,market competitive Maternity and Paternity leave 
  • Birthday and three winter holidays days off 
  • 2 days paid time off for volunteering per year 
  • Fully remote work environment with stipend on joining for home office

About PLOS 

Building on a strong legacy of pioneering innovation, PLOS continues to be a catalyst in open science, reimagining models to meet open science principles, removing barriers and promoting inclusion in knowledge creation and sharing, and publishing research outputs that enable everyone to learn from, reuse and build upon scientific knowledge.

Our work is supported by a highly skilled global in-house team, partnerships with local scholarly organizations, and the valued contributions of a diverse, international community of scientific researchers.

We're committed to equal opportunity

We're working to create a more equitable system of scientific knowledge and understanding. Removing barriers to inclusion and facilitating broad participation of voices is core to our success, inside and out. 

Beyond accepting distinct perspectives, we seek and support divergent backgrounds among our staff because we know differences strengthen our teams, our work, and our communities. We strongly encourage applicants of all identities to join us as we work towards a future where science is open to all, for all. 

Visit plos.org/careers to learn more.