Applied Scientist
Listing checked October 15, 2026 · pay as published by Micro1
Overview
micro1 seeks Applied Scientists to support a customer's data-driven project, with a focus on advanced analytics and experimentation. You will help train next-generation AI systems by providing high-quality, real-world input that shapes how models learn and reason. The work centers on Python, machine learning, statistics, and experimentation. No prior AI experience is needed; your domain knowledge and clear communication are what matter.
What You'll Do11
- 1Design and run statistical analyses to extract actionable insights from complex datasets.
- 2Build and validate machine learning models for business or research goals.
- 3Apply data modeling methods and handle large-scale data transformations with Python and Pandas.
- 4Work with stakeholders to define experimentation frameworks and interpret results.
- 5Document methodology, findings, and recommendations with clarity and precision.
- 6Review peer contributions and offer high-quality feedback to support knowledge sharing.
- 7Deliver reproducible code and well-organized analytical reports as project deliverables.
- 8Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems.
- 9Create expert-level prompts, datasets, and reference solutions.
- 10Identify flawed methodology, statistical errors, and weak quantitative reasoning.
- 11Provide clear, structured feedback that improves model capability.
Requirements8
- 1At least one year at a top company in tech, finance, or research.
- 2Expertise in Python, including libraries such as Pandas and scikit-learn (sklearn).
- 3Demonstrated experience in applied statistics, experimental design, and machine learning.
- 4Proven ability to develop, tune, and evaluate machine learning models in practical settings.
- 5Strong data modeling skills and experience managing structured and unstructured data.
- 6Excellent written and verbal communication skills, with a passion for clear technical documentation.
- 7Experience collaborating on open or cross-functional data science projects is a plus.
- 8Advanced academic background or hands-on work in data science, applied mathematics, or related fields.
Who Should Apply
The ideal candidate has at least one year at a top tech, finance, or research company, with deep Python skills including Pandas and scikit-learn. They bring applied statistics, experimental design, and machine learning experience, plus a knack for clear documentation. Those with advanced degrees or hands-on data science work in applied math or related fields will stand out.
Salary Insight
Compensation is $245 to $280 per hour. No other pay details are provided in the source.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$245–$280/hr
Most AI Training roles pay $42–$98 per hour. This role's pay sits above that range.
Based on 1,068 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,237
- Listed in last 30 days
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- 97%
Hiring most right now: micro1 (361) · SME Careers (254) · Mercor (148)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai evaluation11%
- data annotation9%
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Compensation
$245–280/hr
Required Skills
Application Tip
Highlight your Python, Pandas, and scikit-learn experience with specific examples of machine learning models you have built, tuned, and evaluated. Quantify your impact, such as improvements in model accuracy or efficiency, and mention any top-tier company experience to strengthen your fit.
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