WFH.teamOpen app$510k-$582k
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1+ years stated
Unspecified
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What this posting tells you
Remote contractor opportunity contributing to a customer data project, with work spanning statistical analysis, machine learning, experimentation, and evaluation of AI model outputs. The listing prefers at least one year at a top company; it does not specify pay, eligible countries, or time-zone requirements.
Backend, Data, Design and creative, Finance and investments, Product, Customer support
Eligible countries are not stated.
Timezone overlap is not stated.
Unspecified · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Backend hiring on WFH.team
This role's listed pay is above the median among 199 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketApplied Scientist at micro1
Role Title: Applied Scientist
Role Type: Contractor
Location: Remote
micro1 is engaging Applied Scientists to contribute to a customer's data-driven project, focusing on advanced analytics and experimentation. 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 is part of an open Data Scientist project, with a strong emphasis on clear written and verbal communication.
Scope of Work
Design and execute statistical analyses to uncover actionable insights from complex datasets.
Develop and validate machine learning models for various business or research objectives.
Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.
Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.
Document methodology, findings, and recommendations with a focus on clarity and precision.
Review peer contributions and provide high-quality feedback to support knowledge sharing.
Deliver reproducible code and well-organized analytical reports as part of the project deliverables.
Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.
Create expert-level prompts, datasets, and reference solutions.
Identify flawed methodology, statistical errors, and weak quantitative reasoning.
Provide clear, structured feedback that improves model capability.
Preferred qualifications
At least one year at a top company (tech, finance, or research).
Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).
Demonstrated experience in applied statistics, experimental design, and machine learning.
Proven ability to develop, tune, and evaluate machine learning models in practical settings.
Strong data modeling skills and experience managing structured and unstructured data.
Excellent written and verbal communication skills, with a passion for clear technical documentation.
Experience collaborating on open or cross-functional data science projects is a plus.
Advanced academic background or hands-on work in data science, applied mathematics, or related fields.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.