Seeking an expert senior software engineer with 10+ years of experience at top U.S. technology firms to improve foundational AI model capabilities on complex software engineering tasks. The role requires approximately 20 hours per week for a 2–3 week contract. Candidates must complete a 30-minute AI interview and a paid asynchronous software engineering exercise and project-instructions quiz. Compensation varies by geography and experience.
This role is for one of our clients
Compensation: $150-$210 per hour
We are recruiting expert US/Europe-based senior SWEs for a highly challenging project with a leading foundational model AI lab.
You are a good fit if you:
- Have 10+ years of experience working at top US tech firms
- Are passionate about improving model capabilities at complex SWE tasks
Requirements
About the role
- You must be able to commit around 20 hours per week for this role
- This contract is expected to last 2-3 weekss and includes promotion opportunities within the project
- Successful contributions increase the odds that you are selected on future projects with us.
Vetting process
- 30 minute AI interview
- Asynchronous SWE exercise and project instructions quiz (2h total, paid $100 for completion)
Pay and legal status
- This role will pay $150-210/h depending on geography and experience-level
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Provides sustaining process engineering support for semiconductor solar cell wafer and assembly production. Maintains process control using SPC, troubleshoots equipment and manufacturing anomalies, and drives continuous improvement to reduce cycle time and cost while improving performance. Supports solar technology R&D, process and product development, safety initiatives, and innovative solutions. Requires semiconductor processing experience and collaboration with manufacturing operations teams.
Top Skills:
Analytical TechniquesCC++Dry EtchingHigh-Temperature AnnealingLabviewLean PrinciplesMaterial CharacterizationPhotolithographySemiconductor ProcessingSolar Cell AssembliesSolar Cell WafersSQLStatistical Process Control (Spc)Thin-Film DepositionVBAWet Etching
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.
Top Skills:
APIsAutomated TestingCi/CdClient SdksClient-Side State ManagementCore Web VitalsCSSData ModelingDistributed SystemsDistributed TracingHTML5Javascript Es6+MicroservicesObservabilityReactTelemetryTypescript
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.
Top Skills:
Agent OrchestrationAi Evaluation FrameworksArtificial IntelligenceAtlassian Teamwork GraphAutonomous Ai AgentsBitbucketCode IntelligenceCode SynthesisDistributed SystemsJIRAResponsible AiRetrieval SystemsRuntime SandboxesSemantic SearchTelemetry
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute


