Support data annotation, labeling, and LLM training initiatives to improve product quality Minimum ... Contract 6 Month Position Expected hours: 40 per week Benefits: * Dental insurance * Health ...
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Support data annotation, labeling, and LLM training initiatives to improve product quality Minimum ... Contract 6 Month Position Expected hours: 40 per week Benefits: * Dental insurance * Health ...
... annotation schemas, and quality controls to produce gold data sets · Balance quality, cost, and ... You'll have warm introductions, existing contracts, and credibility that would take a startup years ...
... annotation schemas, and quality controls to produce gold data sets · Balance quality, cost, and ... You'll have warm introductions, existing contracts, and credibility that would take a startup years ...
Contract Data Annotation information
What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?
To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.
What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?
Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What is a contract data annotation job?
A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.
What is the difference between Contract Data Annotation vs Data Labeler?
| Aspect | Contract Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, project-based | Remote or on-site, task-based |
| Industry Usage | AI/ML training, tech companies | AI/ML training, tech companies |
| Job Focus | Annotating data for machine learning models | Labeling data to improve AI algorithms |
Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.
What are the most commonly searched types of Data Annotation jobs in Oregon? The most popular types of Data Annotation jobs in Oregon are:
What are popular job titles related to Contract Data Annotation jobs in Oregon? For Contract Data Annotation jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Data Annotation jobs in Oregon look for? The top searched job categories for Contract Data Annotation jobs in Oregon are:
What cities in Oregon are hiring for Contract Data Annotation jobs? Cities in Oregon with the most Contract Data Annotation job openings:
Contractor
Medical, Dental, Vision, Life, Retirement, PTO
Posted 9 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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