Researchers in Germany
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Meet FRATCH Researchers in Germany
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Felix S.
Last position:
App Developer at XIXUM-Modeler
- Developing a model-based AI where natural language is interpreted as formal relations.
- Natural language terms are not considered rigid but fluid and can be negotiated in a context so meaning resolves by iteratively specifying.
- Develops all kinds of model solutions.
- Backed by natural language and data annotation.
- Requirements to code and other solutions.
Kirill L.
Last position:
UX researcher, UX/UI designer at 50Hertz Transmission GmbH (Elia Group)
Energy, transmission system operator · Desktop, web application
Products Digitalisation of the grid connection process; master data and processes of market locations; balancing of virtual MaBiS aggregate time series; the group's first searchable catalogue and visual UI pattern library
Planning, running and analysing qualitative in-depth interviews: more than 100 interviews with external market partners and internal departments
Designing qualitative interviews including interview guides and evaluation logics; recruiting and scheduling participants
Analysing, preparing and presenting research findings as usability reports and result reports
Translating research findings into UX and design requirements and deriving prioritised recommendations for improvement
Presenting analysis and research results to departments, product owners and decision makers in a form suited to each audience
UX research for internal enterprise and line-of-business applications along regulated market processes
Quantitative methods: online surveys for roadmap prioritisation, questionnaire studies, definition and measurement of UX KPIs
Facilitating requirements workshops; gathering, analysing, describing, agreeing and documenting functional and non-functional requirements
Developing user flows and customer journeys; building and providing UX standards, methods and capabilities (UI pattern library)
Working in product and project teams under Scrum, taking part in all subject-matter meetings and Scrum events
Impact Took three software products to launch
Tools Condens, Miro, FigJam, Figma, Whimsical, Microsoft Teams, Typeform
Afaq A.
Last position:
Master’s Thesis Researcher – Multiview Perception Evaluation at Volkswagen AG
- Developed an evaluation framework for AI-generated multiview driving videos intended for perception and embodied-AI/VLA-related training workflows.
- Designed automated checks for temporal coherence, cross-camera consistency, semantic correctness, and multiview geometric quality, exposing failure modes relevant to autonomous systems.
- Combined classical computer vision, learned visual representations, and vision-language models to convert complex video artifacts into measurable engineering signals.
- Built repeatable benchmarking and failure-analysis workflows to support model comparison, data-quality decisions, and system-improvement discussions.
Daniel F.
Last position:
AI Researcher & LLM Evaluation – Conventional Paradigm Test (CPT) at Private
Conventional Paradigm Test (CPT) – AI Evaluation & LLM Research
Development of an experimental evaluation approach to examine “paradigmatic closure” in Large Language Models — that is, the question of how far LLMs can recognize the basic assumptions, values, and limits of the paradigms within which they generate answers.
Design and testing of an additional approach to classic AI benchmarks that does not primarily measure factual correctness or task performance, but instead examines a model’s ability to recognize alternative perspectives, make implicit assumptions visible, and reflect on the limits of its own answer or interpretation framework.
Focus areas: development of evaluation criteria and test questions · LLM evaluation and comparative model analysis · prompt and response analysis · qualitative classification of model answers · study of epistemic compression and value leakage · benchmark and literature research · development of structured assessment and analysis methods
As part of CPT, existing AI evaluation approaches and benchmarks were analyzed, and a minimalist test protocol was developed that classifies model answers by response patterns such as DIRECT, CLARIFY, PLURALIST, REFUSE, and META-AWARE. TruthfulQA was used as the basis for experimental application and comparison with existing reference answers.
Technologies & Methods: Large Language Models (LLMs) · Generative AI · Prompt Engineering · AI Evaluation · TruthfulQA · Benchmark Analysis · Human-in-the-Loop Evaluation · Qualitative Content Analysis · Research & Literature Review
Heena P.
Last position:
Retirement Spend & Tax Optimizer Agentic AI App (Vibe Coding) at Personal Project
Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application
- Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
- Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users
Remilekun F.
Last position:
Academic Peer Reviewer at Elsevier Journals
Evaluate high-impact manuscripts for scientific rigor, methodology, and clarity. Provide constructive, detailed feedback to international research teams on environmental sustainability and agro-ecology.
Farzad Z.
Last position:
Markerless 3D Pose Estimation
- Developed a deep learning system with multi-view Basler cameras for markerless 3D pose estimation
Patricia E.
Last position:
Freelance UX Researcher, Concepter & Information Architect at Self-employed
- UX research, conception and information architecture services on various projects
Johanna J.
Last position:
Senior UX Researcher at eBay
- Ran high-impact qualitative research across key international markets (Germany, UK, US), supporting strategic decision-making for core areas including seller experience, shipping, and financial services
- Conducted independent interviews with B2C and C2C platform users, translating complex user needs and behaviors into actionable insights for product strategy and execution
Samir E.
Last position:
Research Assistant / PhD Student at TU Dresden
- Supported research in continuum mechanics with emphasis on finite element modeling, material behavior, wear mechanics, and coupled PDE formulations.
- Developed and validated numerical simulations, performed data processing and analysis, and contributed to technical publications.
- Assisted with automation scripts, preparation of figures and documentation, and day-to-day project coordination to ensure smooth research progress.
- Implementation of algorithms is performed in Fortran and Python.
Brian S.
Last position:
DeFi Protocol Analysis Toolkit
- Developed Python-based scripts to analyze token supply, emissions, and on-chain metrics.
- Integrated blockchain APIs to extract and visualize protocol data.
Enjeda C.
Last position:
Associate Researcher — AI & Computer Vision at University of Augsburg
- Research multimodal AI systems integrating image, text, and structured data.
- Build end-to-end AI pipelines for data processing, model training, and evaluation.
- Develop and test computer vision and image recognition solutions using deep learning.
David B.
Last position:
Senior UX Researcher & Strategic Consultant at adidas
- Leading mixed-methods discovery for the adidas Running App, using interviews, surveys (incl. choice-modeling), and AI-powered market/app-review intelligence to surface user needs and engagement opportunities.
- Partnering closely with Product, Content Storytelling, CRM, and Analytics teams to translate insights into product direction, segmentation opportunities, and rapid experimentation.
- Synthesizing extensive internal and external research to map knowns, identify critical knowledge gaps, and build an evidence-based research roadmap that supports continuous discovery and optimization.
- Championing AI-supported research practices by guiding cross-functional teams in leveraging AI for faster user feedback synthesis, market intelligence, and rapid workflows.
Anton H.
Last position:
Senior UX Professional / Researcher at Viessmann Group GmbH & Co. KG
- B2B: conceptual project development of the production software for ViGuide (Web), ViGuideMobile and HMI.
- Revamping information architecture, UX concept for new and existing features.
- UX research.
- UI business analysis: analyzing and designing existing UI and UX structures, and validating existing interaction and design concepts against business, technical and user requirements.
- Conducting UI/UX workshops, deriving consistent UI concepts, and creating wireframes, click dummies and prototypes to support decision-making and implementation in close coordination with stakeholders, UX and development.
- Accessibility according to BITV/WCAG (analysis, concept, implementation).
- Using AI to support UX analysis, pattern recognition in research data and to speed up concept development and prototyping.
- User centered design, usability engineering, agile working – Scrum, UX analysis, concept, wireframing, prototyping, DIN EN ISO 9241-110 / 210, user journeys, personas, interaction design, user guidance and information architecture.
- Remote/onsite interviews, test planning, moderation, documentation of UX/UI concepts and recommendations, Jira, Confluence, Miro, UI/UX workshops (requirements analysis, UI alignment, design reviews).
- Figma (mockups, wireframes, design, concept), Axure and ProtoPie (low- and high-fidelity prototyping), Confluence, Jira, Office, Miro, Maze.
- Quantitative research: usability & prototyping tests via Maze (remote), surveys (Maze).
- Qualitative research: moderated interviews, analysis and action recommendations.
Discover over 15,000 top freelancers
Researchers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.9 years
Positions per freelancer
7
Top business areas
Research and Development, Product Development, Information Technology
Top industries
Education, Information Technology, Professional Services
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
97%
Master's degree or higher
83%
Doctorate
57%
Certifications per freelancer
1
Most common languages
English, German, French
Speak two or more languages
98%
Based on our profile pool as of 15 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this role in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Discover detailed Researchers rate benchmarks:
Explore rate insightsAverage rates for Researchers in Germany
Rates are based on recent contracts and do not include FRATCH margin.
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 15 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Researchers experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Education (81%)
- Information Technology (47%)
- Professional Services (34%)
- Biotechnology (27%)
- Healthcare (26%)
- Automotive (21%)
- Manufacturing (19%)
- Energy (18%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the role
What they do
Freelance researchers turn vague questions into usable facts. They collect, verify, structure, and summarize information for business decisions, content, sales, product, and strategy. In many teams they work as a researcher, market researcher, or web researcher, depending on the task.
- Desk research and source review
- Competitor, market, and company research
- Lead and contact research for sales teams
- User research support, interview prep, and note-taking
- Insight summaries, briefing notes, and slides
Typical deliverables
A strong researcher does not just gather links. They deliver a clear work product that a team can use right away. That often means a source-backed memo, a spreadsheet with structured findings, a ranked list of targets, or a concise readout for stakeholders.
Good researchers know how to compare sources, spot weak evidence, and separate facts from assumptions. They make their process traceable so another team member can follow the logic.
Skills and tools
Reliable researchers combine curiosity with discipline. They need strong search skills, sharp reading, careful note-taking, and a good eye for detail. For freelance work, communication matters just as much as analysis because briefs are often short and scope changes quickly.
- Advanced online search and source validation
- Excel, Google Sheets, and structured databases
- Slides and concise business writing
- Interview guides and qualitative synthesis
- Clear documentation of methods and sources
When companies hire one
Companies bring in a freelance researcher when the work is focused, urgent, or too specialized for the current team. That can be a one-off competitor scan, a list of qualified prospects, background research before a pitch, or preparation for product discovery.
In Germany, this is especially useful for teams that need local-language research, DACH market context, or support that can work smoothly with both English and German stakeholders. Remote collaboration is common, but on-site workshops and interview support can also matter.
What good looks like
Strong researchers are precise. They ask what the decision will be before they start searching. They define scope, name assumptions, and flag gaps instead of hiding them. They also stay neutral when the evidence is mixed.
A good freelance researcher is easy to brief, quick to organize, and careful with sources. If you need someone for market research, web research, or user research support, look for someone who can explain not only what they found, but why it matters.
Common engagements
- Founder or investor background checks
- Prospect lists for outbound sales
- Market sizing input and trend scans
- Content research for reports, whitepapers, and articles
- Support for product discovery and customer interviews
Frequently asked questions
Before you brief your next project: the most common questions about Researchers.
A freelance researcher gathers and structures information for a clear business question. That can include desk research, market scans, competitor profiles, lead lists, or support for user interviews. The best results are not raw notes; they are clean summaries that help a team decide what to do next.
Not always, but the terms are often used close together. A researcher is the broader title, while market researcher and web researcher describe a more specific focus. In practice, clients often mean someone who can search well, verify sources, and turn findings into usable output.
Hire a freelancer when the need is project-based, urgent, or tied to a narrow question. A researcher is a good fit when you need a fast deep dive, extra capacity for a busy team, or specialist support for a single assignment. A permanent hire makes more sense when research is a steady part of the core operating model.
Good researchers need strong search habits, source judgment, and clear writing. They should be able to organize findings in spreadsheets, documents, or slides, and explain where the information came from. For many projects, structured thinking matters more than a specific tool.
Most researchers work with search engines, company databases, spreadsheets, presentation tools, and note systems. Depending on the brief, they may also use interview guides, survey outputs, or CRM data. Tool choice matters less than the ability to keep the work traceable and tidy.
Yes. Remote collaboration works well for most research tasks, especially desk research, lead research, and market analysis. For Germany-based teams, it helps if the freelancer can work comfortably in German and English when sources, stakeholders, or customers require it.
Ask for examples of previous outputs and look at how they frame the question, not just the final answer. A strong researcher shows clear sources, notes assumptions, and separates facts from interpretation. You should also see whether they can turn open-ended input into a focused plan.
Give the business question, the target audience, the scope, and any must-use sources or constraints. If the work is for market research, lead research, or user research, define the format you want at the end. Clear input helps the freelancer stay focused and avoid unnecessary digging.
The average hourly rate for Researchers in Germany is 90 €, which corresponds to a daily rate of about 722 € based on an 8-hour working day.
Of the freelancers working as Researchers in Germany, 97% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 57% hold a doctorate.
On average, freelancers working as Researchers in Germany have 14 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers working as Researchers in Germany are English (100%), German (95%), and French (21%).
The most common industries among freelancers working as Researchers in Germany are Education (81%), Information Technology (47%), and Professional Services (34%).
The most common business areas among freelancers working as Researchers in Germany are Research and Development (100%), Product Development (61%), and Information Technology (48%).
FRATCH Researchers main locations
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Berlin Countries:
- Germany
- Switzerland
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FRATCH CEO
