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Remote Annotation Jobs in Seattle, WA (NOW HIRING)

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

... annotation tooling, and evaluation systems that leading AI labs depend on. This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically ...

Insight Global

Real Estate Specialist

Seattle, WA · Remote

$25 - $33/hr

REMOTE (8AM-5PM Seattle) Must-Haves : * Minimum of 3+ years of active experience as a licensed real ... Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ...

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 ...

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Remote Annotation information

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How much do remote annotation jobs pay per hour?

As of Jun 9, 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

Data Platform Engineer (Python)

Alignerr

Seattle, WA • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically challenging work. If you've spent years building production Python systems and want to apply that experience at the frontier of AI development - this is the role.
  • 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 AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficient with workflow orchestration tools to manage complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver consistently
Nice to Have
  • Prior experience with data annotation, data quality, or model evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote and async-friendly - work from wherever you do your best work
  • Freelance autonomy with the structure and consistency of ongoing project-based work
  • Make a tangible impact on the infrastructure powering next-generation AI models
  • Potential for extended engagement and additional projects as the work evolves

Apply