ZipRecruiter

Log In

2

Remote Annotation Jobs in Seattle, WA (NOW HIRING)

Aquent

Real Estate Agent (part-time AI consulting)

Seattle, WA · On-site +1

$36.22 - $40.24/hr

... remote role, but candidates must be located in the Seattle, WA area. This is a part-time role with ... Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

... remote environment Nice to Have * Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field * Prior experience with data annotation, data quality assurance, or AI ...

next page

Showing results 1-20

All JobsRemote Annotation JobsRemote Annotation Jobs in Seattle, WA

Remote Annotation information

See Seattle, WA salary details

$17

$31

$42

How much do remote annotation jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote annotation in Seattle, WA is $31.49, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $37.74 per hour, depending on experience, location, and employer.

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

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the most commonly searched types of Annotation jobs in Seattle, WA? The most popular types of Annotation jobs in Seattle, WA are:
What are popular job titles related to Remote Annotation jobs in Seattle, WA? For Remote Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Annotation jobs in Seattle, WA look for? The top searched job categories for Remote Annotation jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Annotation jobs? Cities near Seattle, WA with the most Remote Annotation job openings:
Remote Annotation jobs near you

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 7 days ago

Job description

Senior Python Full-Stack Engineer - AI Data & Infrastructure
About the Role
What if your Python expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role working on real production systems - not toy projects. If you're a seasoned Python engineer who thrives on high-impact, technically challenging work, this is where your skills belong.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • Identify and eliminate bottlenecks, edge cases, and reliability issues across production codebases
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation infrastructure
  • Improve safety, performance, and maintainability of existing systems
  • Participate in synchronous design reviews and iterate on system architecture with expert colleagues
Who You Are
  • Native or fluent English speaker with strong written and verbal communication skills
  • Full-stack developer with a solid systems programming background
  • 5+ years of professional experience writing production-grade Python
  • Deep understanding of performance optimization and concurrency - asyncio, multiprocessing, threading - and type safety tools like Pydantic and mypy
  • Proven experience building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
  • Able to commit 20-40 hours per week with reliability and professionalism
Nice to Have
  • Prior experience with data annotation platforms, data quality workflows, or evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems, developer tooling, or MLOps
Why Join Us
  • Work directly with leading AI research labs on systems that matter
  • Fully remote and flexible - structure your hours around your life
  • Freelance autonomy with the depth and consistency of meaningful, long-term technical work
  • Collaborate with a sharp, technically rigorous team on genuinely hard engineering problems
  • Potential for ongoing work and contract extension as projects scale

Apply