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Annotation Tech Jobs in Seattle, WA (NOW HIRING)

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

We are looking for candidates who are passionate about the intersection of language and technology ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

Apple

Senior Software Engineer, Backend

Seattle, WA

$139K - $258K/yr

... Annotation platform enables current and future Apple intelligence products by generating high quality critical data that facilitates Apple Intelligence and other cutting edge ML technologies. Imagine ...

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All JobsAnnotation Tech JobsAnnotation Tech Jobs in Seattle, WA

Annotation Tech information

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

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. Annotation technicians use specialized tools to add accurate labels, which are essential for developing AI systems, and typically require attention to detail and knowledge of annotation guidelines.

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

Is annotation tech legit?

Annotation tech refers to roles involving labeling and annotating data for machine learning and AI training. These jobs are generally legitimate and often involve remote work, requiring attention to detail and familiarity with data labeling tools. However, job seekers should verify the employer's credibility before applying or providing personal information.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

Is data annotation tech hiring now?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Hiring trends can vary by industry and region, but overall, opportunities in data annotation remain active.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $20 per hour, depending on experience, location, and the complexity of tasks. Some companies offer bonuses or pay increases for specialized skills or certifications, but overall, pay is generally modest compared to other tech roles.
What are popular job titles related to Annotation Tech jobs in Seattle, WA? For Annotation Tech jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Annotation Tech jobs in Seattle, WA look for? The top searched job categories for Annotation Tech jobs in Seattle, WA are:
Annotation Tech jobs near you

3D Data Annotator (3‑Month Temp‑to‑Perm)

Overland AI

Seattle, WA • On-site

$90K - $130K/yr

Temporary

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary
Overland AI is looking for a meticulous and spatially-aware 3D Data Annotator to join our team. You will work directly with 3D data captured from our autonomous vehicle platforms, providing the high-quality, ground-truth annotations that drive our AI models.
This role requires a strong, intuitive understanding of 3D space. It is an excellent fit for professionals who already have experience navigating complex spatial data, such as those with backgrounds in GIS, game level design, 3D modeling, or architecture.
*This position is expected to last approximately three months with potential to convert to a regular full-time position based on performance and business needs (see more details below)*
Key Responsibilities
  • Use specialized software tools to accurately label and annotate objects, terrains, and surfaces within complex 3D datasets.
  • Interpret raw point cloud data and 3D environments captured by our autonomous vehicle sensor suites.
  • Maintain strict adherence to annotation guidelines to ensure high standards of data quality and consistency.
  • Collaborate with the engineering team to refine labeling guidelines and provide feedback to improve tooling workflows.
  • Identify and document edge cases, anomalies, or unexpected variables within the collected sensor data.

Minimum Qualifications
  • 3+ years of experience in 3D annotation, 3D modeling, GIS, level design, architectural drafting, or related spatial data field
  • Demonstrated experience using at least one 3D software tool (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity, CloudCompare, or similar)

Desired Qualifications & Experience
  • Direct experience with LiDAR point cloud processing, photogrammetry workflows, or autonomous vehicle sensor data
  • Proven ability to interpret and manipulate point cloud data, 3D meshes, or volumetric datasets
  • Demonstrated proficiency in navigating, manipulating, and interpreting 3D spatial environments.
  • Track record of producing annotation, modeling, or drafting work that meets defined quality standards and specifications
  • Proven ability to follow technical guidelines and maintain consistency across large datasets (demonstrated through prior work samples or references)
  • Familiarity with version control or annotation quality assurance processes
  • Experience collaborating with engineering or data science teams in an iterative development environment
  • Prior experience working specifically with autonomous vehicle data, LiDAR point clouds, or photogrammetry.
  • Familiarity with common 3D, GIS, or engine software tools (e.g., Blender, Maya, AutoCAD, ArcGIS, Unreal Engine, Unity).

Location
This position will be located on-site in Seattle, WA.
This is a temporary-to-permanent position based in Seattle, WA. You will begin employment with Overland AI in a temporary, non-exempt, capacity for an anticipated period of approximately 3 months. Following the temporary period, Overland may, in its sole discretion, offer to convert your employment to a regular full-time position based on business need, role performance, and other factors. Conversion is not guaranteed.
Compensation
Temporary annualized salary of : $90,000 - $130,000, depending on experience, skills, and qualifications. Anticipated full-time annualized salary range upon conversion: $90,000 - $130,000, depending on experience, skills, and qualifications. You will be eligible for overtime at one and one-half times your regular rate for all hours worked over 40 in a workweek during the temporary period.
Benefits During the Temporary Period
From your first day of employment, you will receive the benefits required by Washington and Seattle law, including paid sick and safe time (accruing from day one and usable beginning on the 90th calendar day of employment), Washington Paid Family and Medical Leave coverage, workers' compensation, and unemployment insurance coverage. You will be paid at or above the applicable Washington state and Seattle minimum wage.
Benefits Upon Conversion to Full-Time
If your employment is converted to a regular full-time position, you will become eligible for Overland's full benefits package on the date of conversion.
Full time Benefits include:
  • Equity compensation
  • Best-in-class healthcare, dental, and vision plans
  • Flexible PTO
  • 401(k) with company match
  • Parental leave

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.
This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.
Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [peopleops@overland.ai] to request an accommodation.

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