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micro1 is a data lab that helps AI labs and enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
We are seeking a Mathematics Expert (MSc or PhD) for contract work (~15 hours/week), fully remote globally. Pay is $80–$120/hour.
Required Skills
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Mathematics Expert (MSc. or PhD)
Pay: $80-$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible - you can choose the hours and days you work, including weekends if desired as long as you're active.
We are looking for highly skilled Mathematics Experts to contribute to an AI training project involving advanced mathematical problem-solving, computational mathematics, numerical methods, and Python.
The work involves creating, solving, reviewing, and validating mathematical tasks that can be completed through programmatic, command-line-based workflows. A representative task may require translating a mathematical problem into a computational procedure, implementing the relevant equations or algorithms, calculating a reproducible result, testing special cases, and determining whether the final answer is mathematically and numerically valid.
Relevant tools may include Python, SymPy, SageMath, SciPy, CVXPY, NumPy, GNU Octave, Julia, or similar programmatic mathematical software. Experience with an equivalent CLI-accessible tool is acceptable.
Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CVXPY, statsmodels, NetworkX, numerical solvers, optimization libraries, or domain-specific scientific packages. No single library is mandatory.
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply.
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24-48 hours of completing onboarding.