Mass Spectrometry Scientist
$30 - $95/hourpay
Contractor
Remote
Required Skills
Mass Spectrometry Expertise
Scientific Writing & Communication
Analytical Data Interpretation
Critical Evaluation & Problem Solving
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.
Job Summary
Join our customer’s innovative team as a Mass Spectrometry Scientist, where you will apply your expertise in analytical chemistry and mass spectrometry to support AI training and evaluation for scientific applications in a flexible remote environment. In this unique role, you will help train and refine advanced AI systems by applying deep domain knowledge, interpreting complex analytical data, and collaborating across disciplines to bridge the gap between analytical science and AI technologies.
Key Responsibilities
- Apply mass spectrometry expertise to train, evaluate, and enhance AI models supporting scientific research and analytical workflows.
- Develop, review, and validate scientific prompts, datasets, and outputs focused on mass spectrometry and analytical chemistry.
- Interpret and analyze mass spectrometry data, spectra, and results to ensure accuracy in AI-generated scientific content.
- Provide expert feedback on AI outputs, ensuring scientific rigor, correct methodologies, and precise terminology.
- Design and review mass spectrometry scenarios, problems, and datasets for AI model training purposes.
- Collaborate with interdisciplinary teams including AI researchers, data scientists, and engineers to optimize model performance in scientific domains.
- Document evaluations, insights, and best practices to continually improve AI systems and training materials.
Required Skills and Qualifications
- Advanced knowledge and hands-on experience with mass spectrometry techniques and instrumentation.
- Strong analytical and problem-solving skills, with expertise in interpreting complex mass spectrometry datasets.
- Deep understanding of analytical chemistry principles and MS-based experimental workflows.
- Excellent written and verbal communication skills, with the ability to convey complex scientific concepts clearly.
- Experience in scientific research, analytical laboratories, or related technical environments.
- Ability to work independently while contributing effectively to a remote, collaborative team setting.
- MS or PhD in Chemistry, Biochemistry, Analytical Chemistry, or a related scientific field.
Preferred Qualifications
- Experience with mass spectrometry data analysis platforms such as Xcalibur, MassLynx, or similar tools.
- Background in proteomics, metabolomics, pharmaceutical, or environmental analysis using mass spectrometry.
- Familiarity with AI, machine learning workflows, or scientific data annotation and evaluation.