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Annotation Jobs in Vancouver, WA (NOW HIRING)

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

ACT Reading Tutor

Portland, OR · Remote

$18 - $40/hr

Ability to explain active reading strategies, annotation techniques, and evidence location for 40 questions in 35 minutes with strong time pressure. * Strategic Passage Navigation & Analysis: Skilled ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

TACHS Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at teaching reading passage annotation, grammar rule application, and mental math estimation strategies for TACHS. Guides students through vocabulary-in-context questions, paragraph ...

Guides students through reading passage annotation, word relationship identification, multi-step arithmetic problems, and basic geometry calculations. Emphasizes building test confidence and reducing ...

LSAT Tutor

Portland, OR · Remote

$26 - $40/hr

Skilled at teaching logic game setup and notation systems, argument core identification, and passage annotation. Guides students through conditional reasoning, sufficient/necessary conditions, game ...

Autocad Tutor

Portland, OR · Remote

$25 - $40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Annotation information

See Vancouver, WA salary details

$47.1K

$61.2K

$102.1K

How much do annotation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for annotation in Vancouver, WA is $61,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $60,700.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality assurance specialists, and domain-specific annotators will continue to be essential, especially in areas needing nuanced understanding and accuracy. Skills in critical thinking and familiarity with annotation tools will support job stability in this field.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

How much do annotators make?

Annotators typically earn between $10 and $20 per hour, depending on the complexity of the task, experience, and the employer. Many work remotely and may be paid per task or project rather than hourly, with some platforms offering bonuses for high accuracy or speed.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in Vancouver, WA? The most popular types of Annotation jobs in Vancouver, WA are:
What are popular job titles related to Annotation jobs in Vancouver, WA? For Annotation jobs in Vancouver, WA, the most frequently searched job titles are:
What job categories do people searching Annotation jobs in Vancouver, WA look for? The top searched job categories for Annotation jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Annotation jobs? Cities near Vancouver, WA with the most Annotation job openings:
Infographic showing various Annotation job openings in Vancouver, WA as of July 2026, with employment types broken down into 1% As Needed, 50% Full Time, 46% Part Time, 1% Temporary, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $61,158 per year, or $29.4 per hour.
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Posted yesterday


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases