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Freelance Model Validation Jobs in Bothell, WA (NOW HIRING)

Sample validation and organization * Post-production handoff Sport Category & Styling Authenticity ... Manage freelancer and vendor relationships: scope agreements, scheduling, on-set direction, and on ...

Studio Coordinator

Seattle, WA · On-site

$85K - $95K/yr

Sample validation and organization * Post-production handoff Sport Category & Styling Authenticity ... Manage freelancer and vendor relationships: scope agreements, scheduling, on-set direction, and on ...

Freelance Model Validation information

See Bothell, WA salary details

$25

$58

$87

How much do freelance model validation jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for freelance model validation in Bothell, WA is $58.13, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $70.67 per hour, depending on experience, location, and employer.

What is the difference between Freelance Model Validation vs Data Analyst?

AspectFreelance Model ValidationData Analyst
CredentialsStatistical, data science, or modeling certifications often preferredDegree in statistics, mathematics, or related field
Work EnvironmentIndependent, remote, project-basedCorporate or consulting firms, often in-office or hybrid
Industry UsageFinancial, insurance, or tech sectors focusing on model accuracyBroad industries including finance, marketing, healthcare
Search & ComparisonOften compared for analytical skills and project scopeCompared for data handling and reporting capabilities

Freelance Model Validation specialists focus on verifying the accuracy and reliability of predictive models, often working independently on specific projects. Data Analysts interpret data sets to generate insights, reports, and support decision-making within organizations. While both roles require strong analytical skills, Model Validation emphasizes model testing and validation, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Model Validation jobs in Bothell, WA? The most popular types of Model Validation jobs in Bothell, WA are:
What are popular job titles related to Freelance Model Validation jobs in Bothell, WA? For Freelance Model Validation jobs in Bothell, WA, the most frequently searched job titles are:

Python Insfrastructure Engineer - Model Evaluation

Alignerr

Seattle, WA • Remote

Other

Posted 8 days ago


Job description

Python Infrastructure Engineer - Model Evaluation (AI Training)
About the Role
What if your Python expertise could directly shape how the world's most advanced AI models are built, tested, and improved? We're looking for a Senior Python Infrastructure Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and validate next-generation models.
This is a fully remote contract role with flexible hours - you'll be working on real production systems at the cutting edge of AI development.
  • 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 model evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Build and maintain evaluation harnesses for ML models, integrating with inference frameworks
  • Improve reliability, performance, and safety across existing Python codebases
  • Implement observability, metrics collection, and monitoring to track system reliability and model performance
  • Identify bottlenecks and edge cases in data and system behavior, and ship scalable fixes
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • 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
  • 3-5+ years of professional experience writing production-grade Python
  • Experienced building evaluation harnesses for ML models and integrating with inference frameworks
  • Strong background in observability, metrics collection, and system reliability monitoring
  • Able to commit 20-40 hours per week consistently
  • Self-directed and comfortable working asynchronously across distributed teams
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background in MLOps, infrastructure engineering, or platform engineering
Why Join Us
  • Work on real production systems powering some of the most advanced AI research in the world
  • Fully remote and flexible - structure your work around your life
  • Freelance autonomy with the depth and meaning of high-impact engineering work
  • Contribute directly to AI infrastructure that shapes how next-generation models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch