Biologist
Job Description
Role Title: Biologist
Role Type: Contractor
Location: Remote
micro1 is engaging Biologists to contribute their cellular and molecular biology expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity places a strong emphasis on both written and verbal communication, as you will help define and assess expert-level scientific content. Professionals with hands-on wet lab and CRISPR experience are especially encouraged to participate.
Key Responsibilities:
Lead the design, optimization, and execution of CRISPR-based gene editing experiments.
Develop and implement cloning strategies to generate novel constructs and cell lines.
Perform genotyping, PCR-based assays, and sequence analyses to validate genetic modifications.
Design synthetic DNA/RNA sequences and contribute to screening logic for high-throughput workflows.
Collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training.
Apply molecular biology techniques to study and characterize molecules, organelles, and cellular organization.
Document experimental procedures and results with exceptional clarity and precision, supporting reproducibility and knowledge transfer.
Required Skills and Qualifications:
Expertise in CRISPR technology and gene editing workflows.
Extensive hands-on experience with cloning, genotyping, and PCR-based assays.
Strong background in sequence design and molecular screening strategies.
Excellent written and verbal communication skills, with keen attention to scientific detail.
Ability to research and analyze molecular and organelle functions within cells.
Demonstrated commitment to data accuracy, workflow optimization, and experimental rigor.
Self-driven and collaborative, with a track record of contributing to high-impact research projects.
Bachelor’s degree or higher in Molecular Biology, Cell Biology, or a related field.
Preferred Qualifications:
Experience with the development or evaluation of rubrics, especially for AI and data annotation workflows.
Familiarity with designing datasets or protocols for AI training and human review processes.
Previous collaboration with interdisciplinary or remote teams on data-driven biology projects.
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.