AI Engineer
$20 - $90/hourpay
Required Skills
Machine Learning
CI/CD
AWS
Kubernetes
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: AI Engineer
Job Type: Contractor
Location: Remote
Job Summary:
Join our customer's team as an AI Engineer and help drive innovative solutions at the intersection of software engineering, data science, and applied research. You will develop and deploy advanced machine learning systems that tackle real-world data challenges, collaborating closely with experts across multiple domains in a fully remote environment.
Key Responsibilities:
- Design, build, and optimize robust machine learning models for production environments.
- Implement and automate end-to-end ML pipelines using CI/CD best practices.
- Leverage AWS services for scalable AI infrastructure and model deployment.
- Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
- Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
- Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
- Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
Required Skills and Qualifications:
- Proven expertise in machine learning algorithms, model development, and deployment.
- Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
- In-depth experience with CI/CD workflows and automation tools.
- Hands-on expertise with AWS cloud services for ML applications and data pipelines.
- Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
- Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
- Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
Preferred Qualifications:
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Experience working in high-growth or startup environments.
- Strong publication record or contributions to open-source AI projects.