Experience with AI tools and LLM-related workflows, including data annotation and model training ... Remote Role type: Contract 6 Month Position Expected hours: 40 per week Benefits: * Dental ...
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Experience with AI tools and LLM-related workflows, including data annotation and model training ... Remote Role type: Contract 6 Month Position Expected hours: 40 per week Benefits: * Dental ...
... annotation or labelling, human-in-the-loop data validation and generative AI data services for all ... remote with travel involved. Benefits * Amazing benefits! (Seriously!) * Generous paid time off ...
... annotation or labelling, human-in-the-loop data validation and generative AI data services for all ... remote with travel involved. Benefits * Amazing benefits! (Seriously!) * Generous paid time off ...
... annotation or labelling, human-in-the-loop data validation and generative AI data services for all ... remote with travel involved. Benefits * Amazing benefits! (Seriously!) * Generous paid time off ...
... annotation or labelling, human-in-the-loop data validation and generative AI data services for all ... remote with travel involved. Benefits * Amazing benefits! (Seriously!) * Generous paid time off ...
Ai Annotation Remote information
What are the key skills and qualifications needed to thrive as an AI Annotation Remote Worker, and why are they important?
To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.
What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?
Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.
What are AI Annotation Remote jobs?
AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.
What is the difference between Ai Annotation Remote vs Data Labeler?
| Aspect | Ai Annotation Remote | Data Labeler |
|---|---|---|
| Required Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote or on-site, flexible hours |
| Industry Usage | AI development, machine learning projects | Data preparation, machine learning datasets |
| Search & Comparison Intent | Often compared for entry-level AI data tasks | Related role for data preparation tasks |
Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.
What are the most commonly searched types of Ai Annotation jobs in Oregon? The most popular types of Ai Annotation jobs in Oregon are:
What are popular job titles related to Ai Annotation Remote jobs in Oregon? For Ai Annotation Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ai Annotation Remote jobs in Oregon look for? The top searched job categories for Ai Annotation Remote jobs in Oregon are:
What cities in Oregon are hiring for Ai Annotation Remote jobs? Cities in Oregon with the most Ai Annotation Remote job openings:
Contractor
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 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)
About Linda Werner & Associates
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