Inbox Optimization Expert
Required Skills
gmail
email organization
data annotation
ai workflow optimization
analytical skills
attention to detail
clear written communication
cross-functional team collaboration
dataset development
remote work
Job Description
Job Title: Inbox Optimization Expert
Job Type: Contractor
Location: Remote
Job Summary:
Join our customer's team as an Inbox Optimization Expert, where you will contribute on how advanced AI systems interpret and manage email workflows. In this role you will analyze evaluate and improve inbox organizational strategies through AI models.
Key Responsibilities:
- Review and assess Gmail inbox architectures, labeling systems, and categorization logic to determine optimization opportunities.
- Provide detailed, structured, and actionable feedback on email organization and user experience.
- Identify recurring patterns in communication workflows, supporting AI training to better understand, categorize, and prioritize content.
- Contribute to the creation and refinement of high-quality datasets and evaluation rubrics essential for AI development.
- Collaborate closely with cross-functional teams to iterate on AI system outputs and ensure intuitive digital workflows.
- Maintain a high standard of accuracy and attention to detail throughout the evaluation and feedback process.
- Support the training of advanced AI technologies focused on email and communication optimization.
Required Skills and Qualifications:
- Demonstrated attention to detail and strong analytical skills, particularly in digital communication contexts.
- Familiarity with Gmail and best practices for email organization, including labels, filters, and folder structures.
- Proven ability to provide clear, structured, and concise written feedback on complex workflows.
- Experience working in a bilingual or multicultural environment.
- Comfortable collaborating in a remote, cross-functional team setting.
- Passion for technology and a keen interest in digital workflow optimization.
Preferred Qualifications:
- Previous experience in AI data annotation, machine learning model training, or related fields.
- Familiarity with dataset development and evaluation metrics for AI systems.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.