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Data Annotation Jobs in Bothell, WA (NOW HIRING)

... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

No prior AI or data annotation experience required Nice to Have * Experience with data annotation, quality evaluation, or academic research * Familiarity with AI language models or scientific ...

Chemistry Masters

Seattle, WA · Remote

$27.50 - $36.50/hr

No prior AI or data annotation experience required Nice to Have * Experience with data annotation, data quality assurance, or evaluation workflows * Familiarity with large language models or AI ...

Develop full-stack backend services and CLI tooling for large-scale data annotation , validation, and quality control * Improve reliability, performance, and safety across existing production Rust ...

New

Prior experience with data annotation, data quality evaluation, or AI training workflows * Background in computational modeling, remote sensing, or environmental data analysis * Familiarity with ...

Annotation Lead

Seattle, WA · On-site

$45 - $50/hr

Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software ... Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ...

BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Bachelor's degree in English, Communications, Linguistics ...

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Data Annotation information

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.
What are the most commonly searched types of Data Annotation jobs in Bothell, WA? The most popular types of Data Annotation jobs in Bothell, WA are:
What job categories do people searching Data Annotation jobs in Bothell, WA look for? The top searched job categories for Data Annotation jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Annotation jobs? Cities near Bothell, WA with the most Data Annotation job openings:
Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Seattle, WA • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Welo Data is looking for experienced, detail-oriented professionals to join their team as Data Quality Analysts. This role focuses on ensuring quality and execution within data labeling teams, auditing outputs, and providing guidance to improve accuracy and consistency.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency
• University degree (Bachelor’s or higher)
• B2 or superior level of English
• 2–4 years of experience in data annotation, content quality, QA, or related fields
• Strong ability to interpret and apply complex guidelines with consistency
• Excellent attention to detail with a high bar for quality
• Ability to stay consistent while working with evolving guidelines and priorities
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments
• Prior experience auditing or reviewing the work of others
• Familiarity with safety, compliance, or policy-driven content evaluation
• Must be authorized to work in the U.S. (no visa sponsorship)
• Must be located in or able to commute to one of the specified cities
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.