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Gumloop

Education Lead

San Francisco, CA · On-site

$145K - $175K/yr

Build and maintain async content that supports learners between live sessions: written guides ... temporary remote work flexibility per year * 401k match up to 6%

BC Forward

AI - Full Stack Engineer

Dallas, TX · On-site

$80 - $88.88/hr

Temp - 3+ Months with possibility of conversion Pay Range: $80.00/hr - $88.88/hr (W2) Job ID ... Implement layered backend architectures with dependency injection, async data access, validation ...

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How much do temp async jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for temp async in the United States is $67.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.76 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Async jobs? The most popular types of Async jobs are:
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iOS Engineer_Native Biomathematical Engine Integration

iOS Engineer_Native Biomathematical Engine Integration

LaunchCode

Saint Louis, MO • On-site, Remote

$25 - $30/hr

Full-time

Posted 2 days ago

Job description

Description
Position Type: Contract-to-hire or contract preferred; direct hire optional (candidate must own Mac required)
Hourly Pay: $25 - $30
Location: Remote (U.S.)
Minimum Years of Experience Required: 2
Role summary
Existing production iOS app with a prepared calculation protocol boundary. Integrate a licensed third-party native biomathematical library behind that boundary, map SDK I/O to app DTOs, dual-run against an in-house baseline, feature-flag cutover, and ship without rewriting product UI.
Technical context
Area
Stack
Platform
iOS 17+, Swift 5.9+, SwiftUI
Architecture
MVVM-ish + service layer (singletons + @EnvironmentObject)
Persistence
Core Data; Keychain for sensitive params
Integrations
Tests
Scale
HealthKit, UserNotifications,
BackgroundTasks, haptics
XCTest unit/integration + UITests
~80 Swift files / ~18k LOC incl. tests
Process
Conventional commits; PR to main;
concurrency hygiene in progress
(@MainActor, Swift 6-oriented)
Architecture seam (already prepared):
SwiftUI Views
Services (data, HealthKit, notifications, personalization, monitor)
AlertnessEngine protocol ? integration point
Domain models + Core Data
Boundary already in place:
  • Protocol: current state, forecast, optimize caffeine/dosing schedule, circulating level, related outputs
  • Inputs/outputs use absolute Dates only at the boundary
  • Single builder path: sleep + dose events + resolved subject profile - engine input
  • Temporary in-house adapter implements the same protocol (dual-run baseline)
  • DI provider swaps implementations without UI rewrites
  • Planned doses are a real flag on events (not free-text parsing)
  • Personalization traits resolved app-side and passed in; integrator does not own trait fitting unless contract expands

On-device only: no backend; computation and storage stay on device.
Responsibilities
  • Package licensed lab library (SPM and/or XCFramework); pin versions; document upgrade path
  • Implement protocol-conforming adapter; map lab SDK I/O ? app DTOs
  • Lock unit/timebase/dose policy (see existing unit-policy docs); touchscreen vs hardware RT policy where relevant
  • Build dual-run / golden regression harness vs in-house baseline; no silent behavior drift
  • Feature-flag provider swap; document failure modes (missing sleep, bad inputs, SDK errors)
  • Own release risk for incorrect predictions at the engine boundary; science/product sign-off on parity

Must-have
  • Strong Swift and iOS (async/await, actors / @MainActor, working inside an existing SwiftUI codebase)
  • Wrapping third-party native libraries (XCFramework / SPM), binary vs source integration, module/linker issues
  • Defining and locking I/O contracts (timebases, units, dose schedules, absolute timestamps)
  • Test discipline: dual-run, golden/regression tests, CI-friendly harnesses; no silent drift ? Clear async written communication; Mac development environment

Nice-to-have
  • Sleep / circadian / caffeine PK-PD or biomathematical modeling exposure ? HealthKit, BackgroundTasks, local notification scheduling
  • Scientific, clinical, or safety-critical app experience
  • On-device performance profiling; numerical stability awareness
  • Prior closed-source / licensed SDK integration under NDA

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