1

Contract Data Annotation Jobs in Seattle, WA (NOW HIRING)

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

Duration of Contract - 10 weeks Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap ... data annotation, content review, quality assurance, or fintech-related projects is a plus.

next page

Showing results 1-20

Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
What are the most commonly searched types of Data Annotation jobs in Seattle, WA? The most popular types of Data Annotation jobs in Seattle, WA are:
What job categories do people searching Contract Data Annotation jobs in Seattle, WA look for? The top searched job categories for Contract Data Annotation jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Contract Data Annotation jobs? Cities near Seattle, WA with the most Contract Data Annotation job openings:
Infographic showing various Contract Data Annotation job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 11 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