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Data Annotation Research Jobs in Bothell, WA (NOW HIRING)

Oracle

Senior Applied Scientist

Seattle, WA · On-site

$104K - $142K/yr

... data and human-annotation teams, and external partners to deliver evaluation results that are ... Publish original research in top-tier peer-reviewed conferences and journals, and translate ...

Semantix

Enterprise Solutions AI Consultant

Seattle, WA · On-site

... annotation, and generative AI services-to Fortune 500 leaders. TransPerfect AI offers a premier ... You possess the technical gravitas to speak with Chief Data Officers and AI Researchers, and the ...

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Data Annotation Research information

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What job categories do people searching Data Annotation Research jobs in Bothell, WA look for?

The top searched job categories for Data Annotation Research jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Data Annotation Research jobs?

Cities near Bothell, WA with the most Data Annotation Research job openings:

Data Annotation Research jobs near you

Senior Program Manager, Human Data Operations

mpathic

Seattle, WA

$132K - $132K/yr

Full-time

Posted 5 days ago

Job description

About the Role

mpathic is seeking a Senior Program Manager, Human Data Operations to lead the execution and operational delivery of complex AI safety, evaluation, human data, and red teaming programs for leading AI companies. This role owns the overall delivery program across multiple customer engagements, leading a team of Project Coordinators while ensuring operational excellence, quality, staffing coordination, and execution across multiple delivery sites.


This leader serves as the operational hub for Human Data Operations, partnering closely with executive leadership, project managers, staffing, quality assurance, engineering, product, AI/ML, research, and customer-facing teams to ensure programs are delivered on time, at high quality, and at scale.


In addition to overseeing customer programs, this role is responsible for coordinating facilities and site operations across multiple delivery locations, ensuring each site is prepared to support staffing, security, operational readiness, and program execution.


This role combines strategic program leadership with hands-on operational execution and is ideal for someone who thrives managing multiple workstreams, developing project managers, and building scalable operational systems in a fast-paced AI environment.


What You'll Do


Lead the Human Data Delivery Program

  • Own the overall execution of AI safety, evaluation, annotation, red teaming, and human data programs.
  • Oversee end-to-end delivery from customer handoff through staffing, execution, quality review, reporting, and final delivery.
  • Develop scalable operational systems that improve visibility, throughput, quality, and predictability.
  • Establish governance, reporting, risk management, and communication standards across all programs.
  • Ensure consistent execution methodologies across customer engagements.


Lead and Develop Project Coordinators

  • Manage, mentor, and develop a team of Project Coordinators responsible for customer delivery.
  • Provide coaching, guidance, and operational oversight while enabling Project Coordinators to own day-to-day execution.
  • Balance workloads and allocate project management resources across programs.
  • Establish project management best practices, operating rhythms, and performance metrics.
  • Support hiring, onboarding, and development of additional program management staff as the organization grows.


Coordinate Multi-Site Facilities Operations

Serve as the operational lead for multiple Human Data delivery sites by:

  • Coordinating facility readiness and operational support across locations.
  • Partnering with workplace operations, IT, security, and leadership to ensure sites are prepared for program execution.
  • Supporting expansion into new operational sites as business needs evolve.
  • Standardizing operational processes and ensuring consistency across facilities.
  • Addressing facility-related operational issues that could impact staffing or delivery.


What You'll Accomplish


In Your First 90 Days

  • Build a deep understanding of mpathic's Human Data Operations and AI safety workflows.
  • Establish relationships with Project Managers, executive leadership, QA, staffing, engineering, and customer teams.
  • Take ownership of multiple customer programs.
  • Assess operational readiness across delivery sites.
  • Identify opportunities to improve delivery processes and operational efficiency.


In Your First Year

  • Successfully oversee delivery across multiple customer programs.
  • Develop a high-performing team of Project Coordinators.
  • Build scalable program governance and reporting.
  • Improve quality, throughput, and operational efficiency.
  • Establish standardized delivery practices across teams and facilities.
  • Help define how Human Data Operations scales as mpathic grows.


Required Experience

  • 7+ years leading complex programs, operations, or large-scale services delivery.
  • 3+ years managing Project Managers or operational leaders.
  • Experience leading distributed teams including experts, annotators, reviewers, QA personnel, contractors, or similar operational workforces.
  • Demonstrated success managing multiple concurrent customer programs.
  • Experience partnering with executive stakeholders.
  • Experience operating in high-growth or startup environments.
  • Experience building scalable operational systems and delivery processes.
  • Experience coordinating operations across multiple offices or delivery sites is strongly preferred.



Preferred Qualifications

  • PMP, PgMP, Agile, Scrum, Lean, or equivalent program management certification.
  • Experience with AI safety, LLM evaluation, human-in-the-loop systems, annotation, red teaming, or trust & safety.
  • Experience leading multi-site operations or facilities coordination.
  • Experience scaling operational organizations through rapid growth.
  • Strong background in quality management, workforce planning, and operational excellence.


Apply Even If You Don't Check Every Box

We know great candidates might not fit every bullet on a job description. If this role speaks to you and you're excited to help improve the future of healthcare research and AI safety, we'd love to hear from you.

Apply