Atefeh K.-Freelance AI Trainer
Check rate
Experience
Freelance AI Trainer
Outlier
- Designing and optimizing prompts for AI and machine learning models to improve reasoning, problem-solving, and scientific accuracy.
- Evaluating model performance and providing structured feedback to enhance consistency, reliability, and interpretability.
- Applying data-driven insights to refine AI outputs for technical and scientific applications.
- Developing practical experience in Machine Learning, AI evaluation, and prompt engineering for scientific use cases.
Medical Device Packaging Specialist
Company for Production Hygiene and Sterility Assurance Ltd.
- Optimized packaging processes for terminally sterilized medical devices, ensuring ISO 11607-1/-2 compliance and improving process reliability.
- Led qualification, validation, and verification of procedures, applying analytical thinking and structured problem-solving to enhance efficiency.
- Developed and refined SOPs and testing protocols, supporting process standardization, knowledge transfer, and team alignment.
- Provided technical guidance and insights to national and international stakeholders, demonstrating effective communication and collaboration.
Parental Leave
- Maintained professional development while managing family responsibilities, strengthening time management, organization, and problem-solving skills.
- Improved German language proficiency for professional and cross-functional collaboration.
Student Assistant
Integrated Center for Applied Physics and Photonic Materials (IAPP)
- Analyzed experimental results from organic solar cell fabrication, extracting insights to improve process efficiency and outcomes.
- Applied structured problem-solving and critical thinking to optimize complex workflows and ensure high-quality results.
- Managed, documented, and interpreted technical datasets, supporting evidence-based research decisions.
- Collaborated with cross-functional teams to plan, execute, and optimize projects within deadlines.
Student Assistant
Max Planck Institute for Chemical Physics of Solids Dresden
- Collected and analyzed experimental data from superconductor samples, deriving actionable insights to support research decisions.
- Evaluated material properties using precision instrumentation, applying critical thinking to ensure high-quality and reliable results.
Industry experience
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Experienced in Healthcare, Energy, Education, and Information Technology.
Business area experience
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Experienced in Research and Development, Operations, Quality Assurance, Project Management, Information Technology, and Product Development.
Summary
Interdisciplinary Data Scientist with M.Sc. in Organic Molecular Electronics and nanophysics. Skilled in Python, SQL, Scikit-Learn, TensorFlow, ARIMA, Prophet, LSTM, FastAPI, and Streamlit. Experienced in analyzing large datasets, building and deploying ML pipelines, and delivering actionable insights. Developed and validated ISO 11607-1/-2 testing protocols for medical device packaging, improving efficiency and reliability. Strong analytical thinking and collaboration skills, demonstrated through cross-functional projects and research initiatives.
Skills
- Programming & Data Analysis: Python, Sql, Power Bi, Pandas, Matplotlib, Seaborn, Jupyter Notebooks, Numpy; Experienced In Data Cleaning And Preprocessing
- Machine Learning & Ai: Scikit-Learn, Tensorflow, Open Ai; Model Development, Evaluation, And Deployment
- Data Engineering & Devops: Docker, Google Cloud Platform; Developing And Deploying Data Pipelines
- Productivity Tools: Microsoft Office (Word, Excel, Powerpoint), Ms Project, Origin
- Version Control: Git
Languages
Education
Integrated Center for Applied Physics and Photonic Materials (IAPP), TU Dresden
Master of Science, Organic Molecular Electronics · Organic Molecular Electronics · Dresden, Germany
Certifications & licenses
Alfa Training
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Atefeh is based in Aachen, Germany and can operate in on-site, hybrid, and remote work models.
Atefeh speaks the following languages: Persian (Native), German (Advanced), English (Advanced).
Atefeh has at least 11 years of experience. During this time, Atefeh has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 2 years and 2 months. Note that Atefeh may not have shared all experience and actually has more experience.
Based on recent experience, Atefeh would be well-suited for roles such as: Freelance AI Trainer, Medical Device Packaging Specialist, Parental Leave.
Atefeh's most recent position is Freelance AI Trainer at Outlier.
In recent years, Atefeh has worked for Outlier and Company for Production Hygiene and Sterility Assurance Ltd..
Atefeh is most experienced in industries like Healthcare, Energy, and Education. Atefeh also has some experience in Information Technology.
Atefeh is most experienced in business areas like Research and Development, Operations, and Quality Assurance. Atefeh also has some experience in Project Management, Information Technology, and Product Development.
Atefeh has recently worked in industries like Healthcare and Information Technology.
Atefeh has recently worked in business areas like Operations, Quality Assurance, and Information Technology.
Atefeh holds a Master in Organic Molecular Electronics from Integrated Center for Applied Physics and Photonic Materials (IAPP), TU Dresden.
Atefeh has 1 certificate: Basic Certificate In Project Management (GPM).
The availability of Atefeh needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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