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Data Annotation Tech Remote Jobs in Oregon (NOW HIRING)

TaskUs

Head of Quality, AI Data Operations

OR · On-site +1

... technologies. * Proven ability to design and lead quality assurance processes for data annotation ... US - Remote * Traveling - 25% Salary range: $160,000 - $200,000 + bonus How We Partner To Protect ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Oregon? The most popular types of Data Annotation Tech jobs in Oregon are:
What are popular job titles related to Data Annotation Tech Remote jobs in Oregon? For Data Annotation Tech Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Oregon look for? The top searched job categories for Data Annotation Tech Remote jobs in Oregon are:
Data Annotation Tech Remote jobs near you
Product Operations Specialist (Technical + LLM)

Product Operations Specialist (Technical + LLM)

Linda Werner & Associates

OR • Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About the Role

The Product & Regulatory Operations organization plays a critical role in supporting user and business safety across platforms. This team partners closely with product, engineering, legal, and cross-functional stakeholders to deliver operational excellence for emerging and high-priority initiatives.

As a Technical Product Operations Specialist, you will drive product quality, growth, and operational efficiency through data-driven decision-making, technical tooling, and AI-enabled workflows. This role requires a high degree of autonomy, along with strong technical acumen and product sense to independently execute and scale solutions.

Key Responsibilities

  • Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions
  • Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights
  • Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making
  • Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions
  • Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams
  • Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination
  • Strengthen cross-functional partnerships and proactively remove blockers to drive execution
  • Support data annotation, labeling, and LLM training initiatives to improve product quality

Minimum Qualifications

  • 8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations
  • Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations)
  • Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases
  • Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation
  • Experience managing multiple workstreams simultaneously with strong prioritization skills
  • Self-starter with the ability to work independently and drive projects with minimal oversight
  • Strong analytical and critical thinking skills with a data-driven approach to problem solving
  • Proven organizational and time-management capabilities
  • Experience with data annotation/labeling and LLM training workflows

Preferred Qualifications

  • Experience with development tools such as VS Code or similar environments
  • Experience with low-code/no-code prototyping or AI-assisted development
  • Experience building dashboards using tools such as Tableau, Looker, or similar platforms
  • Familiarity with data pipelines, ETL processes, and data infrastructure concepts
  • Experience collaborating with engineering teams on technical requirements and specifications
  • Background in quality assurance, triage operations, or ML/AI validation workflows
  • Experience developing and executing testing strategies (manual and automated) for products and features

Team & Role Context

  • Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives
  • Requires a balance of technical execution and program management skills
  • Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery

Must-Have Skills

  • Deep experience in technical product operations or program management
  • Strong SQL and data analysis capabilities
  • Experience with AI tools and LLM-related workflows, including data annotation and model training support

Nice-to-Have Skills

  • Experience with low-code/no-code or AI-assisted development
  • Understanding of data infrastructure and pipelines
  • Experience with product testing and validation frameworks

Location: Remote

Role type: Contract 6 Month Position

Expected hours: 40 per week

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

Schedule:

  • 8 hour shift
  • Monday to Friday

Language:

  • English (Required)