Software Engineer - Backend

Pay: $50 - $100/hour

Required Skills
Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
bug fixing
feature implementation
codebase refactoring
performance optimization
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Opportunity Snapshot

Pay: $50–100

Time per task: 5 hours for trainers and 1.5 hours for reviewers

Engagement: Project-based — paid per approved task

Commitment: ~15 hours per week

Location: Fully remote

You’ll need: Hands-on expertise in at least one of Python, Java, Rust, Go, C++, or TypeScript

Your tasks: Build challenging coding problems from real repositories, with reproducible environments and verifiers

Role Title: Software Engineer - Backend

Role Type: Contractor (~15 hrs a week)

Location: Remote

You’ll create Reinforcement Learning Environments that test a model’s ability to solve real software engineering problems: tracking down subtle bugs, building non-trivial features, refactoring, and optimizing performance. Each task means defining the problem, building a reproducible environment, and writing a reference solution.

Scope of Work

Create realistic, challenging coding tasks for frontier AI models, drawn from repositories you know well.
Design problems that require real engineering skill — subtle bugs, non-trivial features, meaningful performance work — not lookup or boilerplate.
Build a reproducible environment for each task.
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.
Flag tasks that turn out to be ambiguous or unverifiable rather than submitting them.

Preferred Qualifications

Significant hands-on expertise in at least one of: Python3, Java, Rust, Go, C++, or TypeScript.
Deep understanding of algorithms, data structures, and software engineering principles.
Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
Experience with large codebase refactoring and legacy system modernization.
Track record of delivering high-impact features from conception through delivery.
Strong documentation and communication skills to articulate technical concepts clearly.
Interest in AI and its technical challenges — previous AI experience not required.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required may vary depending on your experience and workflow.

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.

How the selection process works

Apply and complete the screening questions
Complete the AI interview for this role — it’s how your expertise gets in front of the client
Profile review
Onboarding — our Talent Ops team will get you set up
Email

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