Job Description
Job Title: Data Engineer
Job Type: Full-time
Location: Remote
The Role
We are looking for a skilled Data Engineer with strong analytical thinking and experience building scalable data pipelines, performing exploratory data analysis, and working with both structured and unstructured data. In this role, you will help transform raw information into reliable, high-quality datasets that support research, analytics, and AI/ML model development. Exposure to machine-learning tools and AI technologies is highly valuable.
Key Responsibilities
Design, develop, and maintain scalable ETL pipelines.
Collect, clean, transform, and organize structured and unstructured data.
Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.
Develop and maintain data models, database schemas, and data-storage solutions.
Write and optimize SQL queries for data extraction, transformation, and analysis.
Ensure data quality, integrity, consistency, and security across pipelines and databases.
Automate data validation, reporting, and recurring data processing workflows.
Document data pipelines, processes, and technical decisions.
Troubleshoot pipeline failures and resolve data-related issues.
Required Skills and Qualifications
Strong proficiency in Python and SQL.
Hands-on experience designing and maintaining ETL pipelines.
Experience conducting exploratory data analysis.
Proficiency with Python data-processing libraries such as Pandas and NumPy.
Experience working with relational databases, particularly PostgreSQL and MySQL.
Strong understanding of data modeling, database schemas, and data transformation.
Ability to work with both structured and unstructured datasets.
Experience ensuring data accuracy, quality, and reliability.
Familiarity with development environments such as Jupyter Notebook, VS Code, or PyCharm.
Strong analytical, problem-solving, and communication skills.
Nice to Have
Exposure to AI and machine-learning workflows.
Familiarity with tools and libraries such as scikit-learn.
Experience working with Hugging Face Transformers.
Familiarity with the OpenAI API or similar AI platforms.
Experience preparing and managing datasets used for AI/ML model development.
Previous experience collaborating with researchers or data scientists.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $100,000 –$150,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.