WFH.teamOpen app$104k-$208k
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flexible
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What this posting tells you
Remote senior mobile software engineering contractor role, approximately 15 hours per week. Work involves creating challenging mobile coding tasks for AI systems, reproducible environments, deterministic verifiers, and reference solutions. Compensation is output-based and paid per accepted task, but no pay amount or range is stated. Minimum weekly submission requirements apply; start is expected within 24–48 hours after onboarding.
Customer success, Design and creative, Frontend, Medical billing, Mobile engineering, Product, Software, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Senior · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Customer success hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSenior Mobile Developer at micro1
Role Title: Senior Mobile Software Engineer
Role Type: Contractor (~15 hrs a week)
Location: Remote
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to solve complex mobile software engineering problems related to fixing code, creating features, refactoring code, and optimizing performance. You will be tasked with creating a reproducible environment and a golden reference solution for each problem.
Scope of Work
Create realistic, interesting, and extremely challenging mobile coding tasks for frontier AI models using your preferred repositories.
Design problems that require strong mobile engineering skills, such as tracking down subtle bugs, building non-trivial features, handling application state and lifecycle, or improving performance.
Develop tasks relevant to your expertise: cross-platform applications using TypeScript, JavaScript, or Dart; iOS applications using Swift; or Android applications using Kotlin.
For each task, define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches.
Provide a reference solution showing how the task can be solved.
Preferred qualifications
Significant hands-on expertise in at least one of the following mobile development tracks:
Cross-platform: TypeScript or JavaScript with React Native, or Dart with Flutter.
iOS: Swift with SwiftUI or UIKit.
Android: Kotlin with Jetpack Compose or the Android View system.
Deep understanding of mobile application architecture, state management, asynchronous programming, and application lifecycle.
Proven ability to debug complex mobile applications, resolve bugs, and deliver effective performance improvements.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum weekly submission requirements apply and will be communicated during onboarding.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.