AI training contract
Applied Scientist
Software Engineering · USD 245-280 an hour. · 100 openings
Applied Scientist is contract work for micro1, reviewing and correcting what AI models produce in software engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 245 to USD 280 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: Python, Machine Learning, Statistics, Data Analysis, Experimentation, Pandas, Data Modeling.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by 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.
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.