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

Apple

AIML - Data Scientist, Evaluation

Seattle, WA

$142K - $263K/yr

Description Research and develop evaluation methods to improve the quality of Apple user facing ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...

Apple

AIML - Sr Data Scientist, Evaluation

Seattle, WA

$142K - $263K/yr

Description Research and develop evaluation methods to improve the quality of Apple user facing ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...

Scisco Genetics

Be Seen First

Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

We are seeking a highly trained Bioinformatics Scientist with a PhD or equivalent research ... annotation, and downstream interpretation. * Investigate genetic contributors to human immune ...

BC Forward

Lab Technician II (Robotics)

Redmond, WA · On-site

$32 - $36/hr

... annotation, and QA and a proven ability to execute protocol-driven data generation and validation ... Scaled data collection experience supporting physical device research teams. Strong attention to ...

Cisco

Machine Learning Engineer

Seattle, WA · On-site

$165K - $209K/yr

Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists ... Experience building internal tools or platforms used by annotation or operations teams. Why Cisco?

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All JobsData Annotation Research JobsData Annotation Research Jobs in Bothell, WA

Data Annotation Research information

What qualifications do I need for data annotation?

Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.

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.

Does data annotation actually pay?

Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.

How hard is it to get hired by data annotation?

Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.

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 are popular job titles related to Data Annotation Research jobs in Bothell, WA? For Data Annotation Research jobs in Bothell, WA, the most frequently searched job titles are:
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
Wellness & Nutrition Content Expert, AI Review, Part-Time

Wellness & Nutrition Content Expert, AI Review, Part-Time

mpathic

Seattle, WA • On-site, Remote

$30 - $40/hr

Contractor

Posted 28 days ago

Job description

About mpathic

Keeping the human in AI. mpathic is a trusted leader in advancing clinical accuracy and quality through developing AI-enhanced solutions. mpathic offers human services in red teaming, trust & safety, central rating and monitoring for clinical trials and expert data annotation for LLM builders. Our reviewers have specialization in behavioral analysis, conversational design, mental health, psychiatry, social services and clinical trial settings.


About the Role


mpathic is seekingpart-time wellness, nutrition, and lifestyle experts-including writers, educators, coaches, influencers, or subject-matter experts-who are skilled communicators and thoughtful analysts of human behavior and language.

You will collaborate on confidential AI safety and quality initiatives focused on wellness, nutrition, diet culture, healthy behavior change, and non-clinical wellbeing content generated by large language models. This role is non-clinical and does not involve diagnosis, treatment, or crisis intervention.


What You'll Be Working On


You'll help ensure AI systems provide responsible, accurate, and non-harmful guidance related to wellness, nutrition, food, body image, and lifestyle topics.


Responsibilities may include:

  • Reviewing and stress-testing AI-generated wellness, nutrition, and lifestyle content
  • Roleplaying realistic user conversations related to diet, health goals, habits, and wellbeing
  • Identifying misleading, unsafe, biased, or low-quality wellness advice
  • Evaluating tone, clarity, inclusivity, and cultural sensitivity in AI responses
  • Developing personas, scenarios, and evaluation rubrics for wellness-related use cases
  • Documenting edge cases, failures, and improvement opportunities
  • Providing structured written feedback to researchers and engineers
  • Collaborating with interdisciplinary teams on AI safety, trust, and content quality
  • Maintaining strict confidentiality and quality standards


This role iswriting- and judgment-intensive, and well-suited for people who regularly analyze, create, or critique wellness-related content.


What We're Looking For


Successful candidates are clear communicators, thoughtful reviewers, and comfortable working independently while contributing to a collaborative team.


Basic Qualifications

  • Demonstrated expertise in wellness, nutrition, diet, or lifestyle education, such as:
    • Nutrition or diet education (formal or informal)
    • Wellness coaching or health education
    • Food, fitness, or wellness content creation
    • Body image, intuitive eating, or behavior change frameworks
  • Strong writing and editing skills, with the ability to clearly explain reasoning and feedback
  • Experience evaluating or creating digital content (articles, social posts, scripts, newsletters, guides, etc.)
  • Comfort working with AI tools and conversational systems
  • Strong ethical judgment and attention to safety, accuracy, and harm prevention
  • Ability to work remotely using Slack, LLM tools, and standard productivity software
  • Comfort with ambiguity, iteration, and feedback-driven work
  • Willingness to sign NDAs and work with confidential materials
  • Availability up to 10 hours per week, with occasional scheduled meetings


Above and Beyond

  • Background in nutrition science, public health, health communication, or behavior change
  • Experience as a wellness or nutrition influencer, blogger, or educator
  • Familiarity with diet culture harms, eating disorder-adjacent risks, or wellness misinformation
  • Experience with content moderation, trust & safety, or quality assurance
  • Background in conversational design, UX writing, or scenario design
  • Interest in AI, language models, or responsible technology
  • Participation in online communities (e.g., Instagram, TikTok, Substack, Discord, Reddit)


Compensation

$30-40/hour depending on experience

Apply