Software Engineer
$6 - $74/hourpay
Required Skills
Python
JavaScript
GoLang
Rust
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Software Engineer - Ai trainer
Job Type: Contractor
Location: Remote
Job Summary:
Join our customer's team as a Software Engineer and shape the next generation of AI solutions. You’ll leverage your expertise in modern programming languages and terminal-based problem solving to guide AI systems in real-world, production-grade engineering environments. Collaborate closely with a global team, contributing high-impact insights and driving meaningful advancements in AI training methodologies.
Key Responsibilities:
- Develop and optimize AI training pipelines using Python, GoLang, JavaScript, and Rust within complex engineering stacks.
- Design, troubleshoot, and manage production-grade system builds, Dockerized sandboxes, and CI/CD workflows.
- Demonstrate advanced problem-solving by navigating filesystems, managing processes, and recovering from system errors.
- Collaborate with cross-functional teams to refine data sets, model behaviors, and infrastructure for AI learning.
- Document and communicate technical solutions clearly, ensuring effective knowledge transfer and process improvements.
- Implement best practices for security, scalability, and maintainability across infrastructure and codebases.
- Continuously evaluate cutting-edge tools, libraries, and frameworks to enhance AI training efficiency.
Required Skills and Qualifications:
- 5+ years of hands-on experience as a software engineer, SRE, or DevOps engineer in production environments.
- Expert proficiency with Python, JavaScript/TypeScript, Go, and Rust; familiarity with C/C++ and Bash is a plus.
- Robust experience with build systems, package managers, ML frameworks, databases, cryptography, and version control tools.
- Demonstrated mastery in terminal-based workflows, including problem decomposition and dynamic replanning under constraints.
- Proven ability to design and maintain complex infrastructure, including Docker and server administration.
- Exceptional written and verbal communication skills; ability to document, teach, and advocate for technical best practices.
- Fluent English proficiency, with a commitment to clear communication and collaborative teamwork.
Preferred Qualifications:
- Experience working on international, distributed engineering teams (US/CAN, LATAM, UK regions preferred).
- Background in AI/ML model training, data engineering, or human-in-the-loop systems.
- Exposure to large-scale infrastructure projects or cryptography-driven applications.