WFH.teamOpen app$104k-$146k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
flexible
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Fully remote contractor role for a Rust Architect / Backend Developer on an AI-training project. The listing states pay of $50–$70 per hour, but also describes output-based, per-task compensation with minimum submission requirements. Work is described as approximately 15 hours per week with flexible scheduling. Country eligibility must be checked on the official posting.
Backend, Customer success, Data, Design and creative, DevOps, Operations, Product, QA and testing, Software
Eligible countries are not stated.
Global
Architect / Backend Developer · Contract · Contractor
- Eligible hiring countries are not stated
Backend 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 marketRust Architect / Backend Developer at micro1
Rust Architect / Backend Developer
Pay: $50–$70/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you can choose the hours and days you work, including weekends if desired (As long as you're active)
We are looking for a highly skilled Rust Architect / Backend Developer to contribute to an AI-training project involving production Rust, backend architecture, asynchronous and concurrent systems, service design, infrastructure, and technical debugging. The role requires strong programming ability and the judgment to evaluate whether backend systems are correct, reliable, maintainable, and suitable for production use.
Scope of Work
Solve and validate Rust backend problems involving service behavior, APIs, persistence, concurrency, performance, and reliability.
Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows.
Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized environments.
Preferred qualifications
Strong knowledge of Rust, backend service design, APIs, data systems, concurrency, and production software architecture.
Experience formulating and completing technical analyses involving backend correctness, performance, scalability, or reliability.
Practical proficiency with Rust in substantial professional, research, or open-source software
Clear Rust Architecture ownership
Process
Apply to the role, filling out the screening questions
Complete AI interview (aprox. 30 minutes), reviewed by recruiters)
Hiring Manager review
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 submission requirements apply. Experts must submit a minimum of tasks per week.
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.