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Freelance Backend Python Jobs in Seattle, WA (NOW HIRING)

Freelance Backend Python information

See Seattle, WA salary details

$18.2K

$168.7K

$217.4K

How much do freelance backend python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for freelance backend python in Seattle, WA is $168,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,600.00 and $190,600.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Backend Python vs Backend Developer?

AspectFreelance Backend PythonBackend Developer
CredentialsOften self-taught or with certifications in Python, web development, or related fieldsBachelor's degree in Computer Science or related field, with experience in backend technologies
Work EnvironmentIndependent, remote, project-basedFull-time or part-time, in-office or remote, employed by a company
Industry UsageFreelance platforms, tech startups, consultingTech companies, enterprises, startups
Search & Comparison IntentLooking for freelance opportunities, project-based workSeeking full-time or contract backend roles

Freelance Backend Python professionals typically work independently on project-based tasks, often remotely, and may not require formal degrees but should have strong Python skills. Backend Developers usually work as part of a team within a company, often holding formal education credentials. Both roles involve backend technologies, but their work settings and employment types differ significantly.

What are the most commonly searched types of Backend Python jobs in Seattle, WA? The most popular types of Backend Python jobs in Seattle, WA are:
What are popular job titles related to Freelance Backend Python jobs in Seattle, WA? For Freelance Backend Python jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Freelance Backend Python jobs in Seattle, WA look for? The top searched job categories for Freelance Backend Python jobs in Seattle, WA are:

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 14 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