AI training and LLM evaluation jobs
Applied Scientist
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Applied scientists will design statistical analyses and experiments, build and validate machine-learning models, and transform large datasets with Python and Pandas. They will define evaluation frameworks with stakeholders, document methods and findings, review peer contributions, and deliver reproducible code and reports. The source asks for at least one year at a leading technology, finance, or research organization, plus practical strength in applied statistics, experimental design, scikit-learn, and model tuning. Clear technical communication matters alongside quantitative judgment.
Responsibilities
- 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.
Requirements
- 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.
Eligibility
Bangladesh · Hong Kong · India · Indonesia · Japan · Kazakhstan · Kyrgyzstan · Malaysia · Pakistan · Philippines · Singapore · Sri Lanka · Taiwan · Thailand · Uzbekistan · Vietnam · Austria · Belarus · Belgium · Denmark · France · Germany · Greece · Italy · Netherlands · Portugal · Russia · Spain · Switzerland · United Kingdom · Argentina · Brazil · Chile · Colombia · Mexico · Peru · Algeria · Bahrain · Egypt · Iraq · Jordan · Kuwait · Lebanon · Libya · Morocco · Oman · Palestine · Qatar · Saudi Arabia · Tunisia · United Arab Emirates · United States · Canada · Nigeria · Kenya · South Africa · Ghana · Ethiopia