AI Engineer
Micro1 • Remote • Posted 119 days ago
Education
Any
Type
Pay Rate
$55/task
Posted
119d ago
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About this Role
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.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
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.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($55/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.