Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Freelance autonomy with the depth and meaning of high-impact engineering work * Contribute directly ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Freelance autonomy with the depth and meaning of high-impact engineering work * Contribute directly ...
... generation models. This is a fully remote, flexible contract role working on real production ... Develop full-stack tooling and backend services for data annotation, validation, and quality ...
... generation models. This is a fully remote, flexible contract role working on real production ... Develop full-stack tooling and backend services for data annotation, validation, and quality ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Collaborate with data, research, and engineering teams to support model training and evaluation ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and ... Collaborate with data, research, and engineering teams to support model training and evaluation ...
... models? We're looking for a Senior Rust Full-Stack Engineer to build and optimize the data ... Develop full-stack tooling and backend services for large-scale data annotation , validation, and ...
... models? We're looking for a Senior Rust Full-Stack Engineer to build and optimize the data ... Develop full-stack tooling and backend services for large-scale data annotation , validation, and ...
Studio Coordinator
$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 ...
Studio Coordinator
$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 ...
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 ...
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
$25.26 - $30.90
2% of jobs
$30.90 - $36.55
6% of jobs
$36.55 - $42.19
13% of jobs
$43.95 is the 25th percentile. Wages below this are outliers.
$42.19 - $47.83
13% of jobs
$47.83 - $53.48
11% of jobs
The median wage is $56.30 / hr.
$53.48 - $59.12
12% of jobs
$59.12 - $64.76
9% of jobs
$69.11 is the 75th percentile. Wages above this are outliers.
$64.76 - $70.41
13% of jobs
$70.41 - $76.05
13% of jobs
$76.05 - $81.69
6% of jobs
$81.69 - $87.34
3% of jobs
$25
$58
$87
How much do freelance model validation jobs pay per hour?
What is the difference between Freelance Model Validation vs Data Analyst?
| Aspect | Freelance Model Validation | Data Analyst |
|---|---|---|
| Credentials | Statistical, data science, or modeling certifications often preferred | Degree in statistics, mathematics, or related field |
| Work Environment | Independent, remote, project-based | Corporate or consulting firms, often in-office or hybrid |
| Industry Usage | Financial, insurance, or tech sectors focusing on model accuracy | Broad industries including finance, marketing, healthcare |
| Search & Comparison | Often compared for analytical skills and project scope | Compared 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.
Other
Posted 8 days ago
Job description
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
- 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
- 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
- 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
- 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