ChatGPT Experts
in minutes from over 15,000 CVs with the power of AIHire experts who shape ChatGPT into useful business tools, from custom prompts and GPT-4 workflows to support bots, content drafting, and internal knowledge assistants, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts who have recently used ChatGPT
Hannah Kaup
Last position:
Lecturer in AI Basic Skills for the Digital Workplace at grandedu
- Lecturer in an AZAV-certified, one-month training program on AI basics and practical application
- Design and delivery of modules for participants from different professional fields
- Teaching how generative AI works, where it can be used, and where its limits are, as well as prompting and evaluation practice
- Creating training materials and exercise formats
- Trainer qualification according to AEVO
Kristina Suchan
Last position:
Agile Transformation Coach – SAP Program (Freelance) at Sherpa X Digital Transformation SAP at Siemens
- Agile Transformation Coach within an SAP-driven End-to-End Lead-to-Cash program, supporting leadership and management teams in implementing and evolving the Sherpa Way of Working, strengthening Agile practices, role definitions and responsibility clarity (RACI), and delivery effectiveness
- Member of the leadership core team for the Way of Working, shaping and evolving agile operating models, challenging existing practices, and driving pragmatic, system-level improvements
- Conceptualized a Polarion-based Scrum Master dashboard as a single, role-based entry point for sprint status, dependencies, risks, and governance artefacts, reducing reporting overhead and improving transparency
- Provided targeted 1:1 coaching to the Master Scrum Master and Scrum Masters, strengthening leadership capability, role effectiveness, and support for team-specific challenges, including the redesign of Scrum Master syncs and collaboration formats
- Worked with teams and leadership on End-to-End Lead-to-Cash process analysis and documentation in SAP Signavio, supporting alignment, transparency, and a shared understanding of process expectations across teams
Chris Wolf
Last position:
Senior Strategy Advisor, Transformation Lead – program realignment with target picture, governance, and priority steering at Sparkassen-Finanzgruppe | S-Communication Services
In-house consulting provider and driver of transformation within the group, multi-stakeholder environment and C-level.
Realignment and stabilization of a cross-functional transformation and scaling program within the group. Sharpening the target picture, priorities, and set of measures, as well as building reliable governance, planning, and steering structures. Structuring roles, responsibilities, and strategic initiatives while including AI and IT automation ideas.
Designed program realignment and project portfolio management
Developed strategy model and target picture for IT projects
Structured portfolio, roadmap, and priorities
Established governance and regular meetings
Worked out operating model for flagship projects
Assessed AI and automation ideas
Clarified roles and responsibilities
Implemented change measures
Developed, moderated, and evaluated workshops
Transformed 17 initiatives into a steering model
Increased transparency and decision-making ability
Strengthened commitment in steering
Sharpened the operating model structurally
Integrated three top-5 institutes
Involved over 80% of stakeholders
Governance
Portfolio steering (PPM)
Change management
Artificial intelligence
Workflow automation
AI use case assessment
Confluence
Jira
Stakeholder management
Sabine Liberty
Last position:
Communications consultant for crisis communication/issue management at AQIM – Association for Quality in Interim Management
Planning, execution & moderation of crisis communication and reputation management
AQIM is a non-profit organization based in Austria. An association of interim managers from Germany and Austria. Founded in December 2024. Multi-part training with workshops and consulting for preventive crisis communication, in cooperation with the founding members and those responsible for communication. To assess crisis potential for the market entry strategy and ahead of a digital campaign.
The project in a nutshell:
Consulting and training for the purpose of:
- Analysis of crisis potential as a new market entrant and its internet-based communication activities
- Planning and developing crisis communication with targeted measures
- Developing a crisis plan to minimize reputation risks in an emergency
- Conducting training and information sessions
Success:
- What started as a one-time consulting event for preparing an information campaign became a multi-part workshop on preventive crisis communication. This not only gave the organization expertise and confidence in the event of acute challenges, but also gave the participating interim managers new skills for their day-to-day work on assignments
- The workshop enabled those responsible to launch the information campaign that was being prepared at the time and planned for six months, as scheduled at the end of January 2026 on social media
- Careful scheduling and defining how to handle critical voices in terms of terminology and tone, as well as compliance rules, ensured a smooth start and run of a 3-month information campaign
Hubertus S.
Last position:
Senior Product Manager AI
Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.
- Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
- Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
- Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
- Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
- Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.
Goran Popovic
Last position:
Test Manager & Analyst at Festo / Questax GmbH
Project goal: Carrying out system tests and validating industrial communication and control systems, including requirements definition and verification.
Responsibilities:
- Test planning, test execution
- Test strategy, test cases, and test specifications
- Requirements analysis
- Ensuring traceability between requirements, test cases, and defects
- Carrying out regression and integration tests
- Defect analysis
- Simulation and validation
- NetSniffer Wireshark
- Supporting test automation (Python, CI/CD)
- Reporting
- Stakeholder coordination and agile collaboration (Scrum / SAFe / Kanban)
- V-Model
- CI/CD automation with Python, Groovy, and frameworks (Selenium, PyTest)
Technologies:: CAN, Modbus, Ethernet, PLC, PROFINET, Codebeamer ALM, Scrum, SAFe, MS Teams, Git, CI/CD with GitLab CI and TeamCity, Windows Batch, FAS, Wireshark, Python, Enterprise Architect (EA), AI tools (e.g. ChatGPT, Microsoft Copilot), VS Code, Tia Portal, SCL, Python (Selenium, PyTest)
Boris Solos
Last position:
Generalist expert for software development at Mercor
- Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Anish Gupta
Last position:
GTM Intelligence Engine · Open Source
- PROBLEM: GTM effort is guesswork across fragmented identities and channels, with no closed feedback loop.
- BUILT: Cost-pyramid engine (L0–L3): identity resolution across ~25k entities, explainable intent scoring, and a closed decision loop (propose → execute → evaluate → learn) with calibration.
- IMPACT: Shipped v1.3.1 with a live demo; 99% of operations resolve at the free L0 tier (CI-enforced); $0 to run without any API key.
Myrto Papagiannakou
Last position:
UX Lead, Strategist for Property Management Systems at Destination Solutions
- Leading UX for a Property Management System, an all-in-one solution for vacation rental agencies and tourism regions, covering marketing and rental of holiday apartments and houses
- UX audits, conception, and implementation of UX strategy with a focus on regulatory, security, and user-centered requirements
- Advising C-level stakeholders on UX strategy and design best practices
- Planning and conducting research with agencies and property owners
- Design system strategy and definition of UX architecture
Ankit Handa
Last position:
AI Evaluation Analyst at Turing
Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.
- Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
- Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
- Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
- Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.
Osman Tartoussi
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Lukas Noska
Last position:
Senior Product Designer (Process & Workflows) at Streckenheld
- Designed role-based delivery assignment workflows, switchable between own fleet and partner carriers, with traceable status chains from „pending“ to „in delivery.“
- Designed AI-assisted route optimization, where dispatchers review drive-time-optimized route suggestions as drafts and apply them in one click.
- Designed a central planning interface for delivery and route management, bringing table view, map view, and route composition into a single workflow.
- Built interactive prototypes to align new product features early with stakeholders and engineering.
Key methods: AI-assisted Product Design, Workflow Design, Role-Based Workflows, Dashboard Design, Interaction Design, Prototyping, Logistics/Operations UX, Stakeholder Collaboration
Tom Gufler
Last position:
Digitalization Consultant at LichtBlick SE – Green Electricity & Innovation
- Concept & IT implementation of inbound B2C campaigns, BPM process documentation
- Cross-departmental implementation of multiple whitepapers / guides
- Setup of the customer journey with MS Dyn365 / CRM: forms, landing pages, campaigns
- Project controlling, process documentation, testing and training / coaching, analytics reports
- Hands-on implementation & on-time launch of all campaigns for digital new customer acquisition
Janis Antwerpen
Last position:
Performance Marketing & E-Mail Automation Expert at INeKO Institute at the University of Cologne
- Planning, optimization, and analysis of SEA and Meta campaigns
- Planning and execution of automations and mailings
- Optimization of landing pages (funnel, structure, copy, image)
- Creation of creatives, media plans, and reports
- Planning and support for the move to server-side tracking
Olaf Kiese
Last position:
CIO Advisor・IT Strategy・Tech/IT Due Diligence・Enterprise Architecture・IT Governance・AI Transformation・ex-BCG Platinion at Kiese IT
- -- ENGLISH Version (Deutsche Version unten) ---
Experience
- Ex-BCG Platinion: 14 years as Manager & Chief IT Architect, leading large-scale IT transformations in complex group structures
- 20+ years of C-level consulting across AI/IT strategy, enterprise architecture, IT organization, transformation, M&A due diligence, project recovery, and interim management
- IT leadership experience with cross-functional, intercultural teams of up to 100+ people
- Hands-on background in software engineering, IT architecture, and project management
- Fortune Europe 500 focus; numerous international projects; SME and start-up experience
Core services:
- IT strategy, enterprise architecture (EAM), target architectures and roadmaps
- PE/M&A/carve-out IT/tech due diligence, asset valuation, cost estimation
- GenAI transformation, process automation, and AI governance
- IT reorganization, target operating model (TOM), agile transformation
- IT governance, development and ITSM process optimization (BizDevOps, SAFe)
- Review and recovery of critical large-scale IT programs
- Planning and steering of transformation programs and IT project portfolios
- IT vendor and platform selection (RfI / RfP)
- Coaching & Interim management
Industries (selection): Insurance, financial services & banking, energy & utilities, telecommunications, retail & consumer goods, logistics, media, industry & engineering, healthcare, professional services
Projects (selection):
M&A Buy-side IT/Tech Due Diligence of an Acquisition in the Energy Sector (Utility, Smart Home) — AI-augmented with Anthropic Claude
AI Initiative for LLM-Based Optimisation and Automation of Sales and Billing Processes
Interim management Enterprise Architecture & group target architecture/roadmap development (METRO)
Reorganization: Design and introduction of agile IT target operating model at international wholesale group (METRO)
Design and implementation of agile BizDevOps target operating model (E.ON Grid Solutions)
Platform/vendor selection for renewal of core insurance solution of start-up (ELEMENT Insurance)
Establishment of project assurance capability and review/recovery of critical transformation projects (ERGO)
Enterprise architecture management and development of divisional/solution architectures (Deutsche Post DHL)
Strategic pricing architecture decisions in digital sales application landscape (E.ON Energie)
IT due diligence: Architecture evaluation and monetary valuation of IT assets (ProSiebenSAT.1 Media)
Interim management of group-wide security/compliance programme (ERGO)
Enabling an application landscape for different sales organizations and product structures (E.ON Energie)
Realignment of business/IT strategy and InsurTech platform selection (RfI, RfP) (nexible, ERGO Digital Ventures)
Stabilization/optimization of an agile/SAFe business/IT DevOps landscape transformation (Lufthansa AirPlus)
Process optimization and design/management of digitization and robotics introduction in power plants (RWE Nuclear)
BSS target architecture development for fixed/mobile networks convergence (Deutsche Telekom)
Optimization of IT organization model and methodology in application development and testing (Deutsche Telekom)
Evaluation of fulfillment of a general contractor agreement for run-off/migration of contract portfolios (ERGO)
-- DEUTSCHE Version (English version above) ---
Experience
- Ex-BCG Platinion: 14 years of strategy and implementation of large-scale IT transformations in complex corporate structures (Manager & Chief IT Architect)
- 20+ years of C-level-adjacent IT consulting: IT strategy, enterprise architecture, IT organization, transformation, due diligence, project recovery, and interim management
- IT leadership responsibility for cross-functional, intercultural teams of up to 100+ people
- Solid hands-on experience in software development, IT architecture, and project management
- Focus on Fortune Europe 500, numerous international projects; SME and start-up experience
Industries: insurance · financial services & banking · energy · telecommunications · retail & consumer goods · industry & engineering · logistics · media · healthcare
Services (focus areas):
- IT strategy, enterprise architecture (EAM), IT landscape target visions and roadmaps
- M&A/carve-out IT/tech due diligence, asset valuation, and cost estimation
- GenAI transformation, process automation, and AI governance
- IT reorganization, target operating model (TOM), agile transformation
- IT governance, development and ITSM processes (BizDevOps, SAFe)
- Review and recovery of critical large-scale IT projects
- Planning/steering of transformation programs and IT project portfolios
- IT service provider/platform selection (RfI, RfP)
- IT project management (agile, classic, hybrid)
- Coaching & interim management
Projects (selection):
- M&A buyer-side IT/tech due diligence of an acquisition in the energy sector (utility, smart home) — AI-augmented with Anthropic Claude
- AI initiative for LLM-supported optimization and automation of sales and billing processes
- Interim management of Enterprise Architecture and development of group target architecture in wholesale (METRO)
- Reorganization: design and introduction of an agile IT target operating model (TOM) at an international wholesale group (METRO)
- IT reorganization: introduction of an agile BizDevOps target operating model (TOM) at an energy group (E.ON Grid Solutions)
- Platform selection / vendor selection for renewal of the core insurance solution of a B2B2C start-up (ELEMENT Insurance)
- Process optimization, digitalization, and introduction of robotics in power plants (RWE Nuclear)
- Assessment of fulfillment of a general contractor agreement for run-off/migration of life insurance portfolios (ERGO)
- Business/IT strategy and InsurTech platform selection for a digital insurer/start-up (nexible, ERGO Digital Ventures)
- Enabling an energy application landscape for multiple sales units (E.ON Energie)
- Strategic architecture decisions in price management of a digital sales application landscape at an energy group (E.ON Energie)
- Stabilization/optimization of an agile DevOps IT transformation in business travel and payment management (Lufthansa AirPlus)
- Interim management in a group-wide security and compliance program of a global insurer (ERGO)
- Building project assurance capability as well as review and optimization/recovery of critical IT projects in an insurance group (ERGO)
- Building enterprise architecture management and development of domain and solution architectures for a logistics group (Deutsche Post DHL)
- M&A IT due diligence – evaluation and valuation of IT assets in the media sector (ProSiebenSAT.1 Media)
- Development of BSS target architecture and roadmap for fixed/mobile convergence (Deutsche Telekom)
- Optimization of IT governance/organization and methodology in application development and testing at a telecommunications group (Deutsche Telekom)
Discover over 15,000 top freelancers
Statistics of experts using ChatGPT
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3.2 years
Positions per freelancer
12
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Professional Services, Retail
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
88%
Master's degree or higher
51%
Doctorate
6%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
98%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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.
Average rates of experts using ChatGPT
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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What ChatGPT covers
ChatGPT is a conversational AI system used to draft text, answer questions, summarize content, and support workflows that need natural language. Companies bring in specialists to turn it into usable business output, not just chat. It often appears in customer support, content operations, internal search, and product features.
Common use cases
- Prompt design for repeatable business tasks
- Internal assistants for policy, documents, and knowledge bases
- Support replies, email drafts, and ticket summaries
- Content generation with review and approval steps
- Product features powered by OpenAI or the ChatGPT API
Ecosystem and tools
Strong professionals know how to work with the ChatGPT app, OpenAI APIs, prompt patterns, and guardrails. They also connect it to tools such as retrieval systems, workflow automations, and content review processes. In many projects, they pair it with data sources so answers stay grounded and useful.
When companies bring in specialists
Teams usually hire freelance expertise when early prompts are inconsistent, output needs to match a brand voice, or a prototype must become a stable workflow. They also need help when ChatGPT must handle private knowledge, structured inputs, or human review. This is common in fast-moving product teams and operations groups.
What strong experts deliver
A strong ChatGPT specialist thinks about behavior, quality, and risk, not only prompts. They define input and output rules, test edge cases, reduce hallucinations, and document how the system should be used. Good work is clear, maintainable, and easy for teams to hand over.
Choosing the right fit
Look for people who can explain why a prompt works, how they evaluate responses, and when they would use ChatGPT versus a simpler rule-based flow. Ask for examples with the OpenAI stack, retrieval-augmented setups, or business automation. The best specialists make the system practical for real users, not just impressive in a demo.
Frequently asked questions
Everything clients usually want to know about ChatGPT, in one place.
ChatGPT is used for drafting text, answering internal questions, summarizing documents, and powering conversational features. Companies also use it for support workflows, content review, and knowledge assistants. The best projects make it part of a clear process, not a free-form chat box.
ChatGPT is often chosen because it is easy to use and well supported through the OpenAI ecosystem. Compared with simpler prompt tools, it can handle broader tasks and better conversation flows. Compared with other large language models, the right choice depends on cost, control, integration needs, and output quality.
A strong ChatGPT specialist usually knows prompt design, API integration, retrieval setups, and content evaluation. They should also understand basic product thinking, error handling, and data privacy concerns. For many projects, knowledge of workflow automation and document systems matters just as much as the model itself.
A small internal prototype may need only a focused specialist who can shape prompts and test outputs. A production setup needs someone who can manage structure, guardrails, and integration with real systems. The more sensitive or business-critical the use case, the more important it is to hire someone who has shipped similar work before.
Most ChatGPT work can be done remotely because the core tasks are writing, testing, and integrating prompts or API calls. On-site work only becomes important when teams want deep access to stakeholders, internal documents, or fast workshops. Many companies use a remote specialist and keep reviews with the business team in regular calls.
Ask how the person tests output quality, handles bad responses, and keeps prompts maintainable. For ChatGPT, it also helps to ask how they would connect the system to internal knowledge and where they would use human review. A clear answer should sound practical, not vague or overly generic.
Look for structured examples: prompts with clear rules, sensible fallback behavior, and outputs that match the use case. A good ChatGPT expert can explain trade-offs, not just show polished results. You want someone who measures usefulness, consistency, and failure modes, especially for the OpenAI API or ChatGPT-based workflows.
ChatGPT is rarely the whole solution by itself. Most useful implementations add retrieval, source data, review steps, and workflow logic so answers stay accurate and actionable. If a freelancer can describe those pieces clearly, they are usually closer to production-ready work.
The average hourly rate of freelancers who have used ChatGPT in their recent projects is 102 €, which corresponds to a daily rate of about 819 € based on an 8-hour working day.
Of the freelancers who have used ChatGPT in their recent projects, 88% hold at least a Bachelor's degree, 51% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers who have used ChatGPT in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers who have used ChatGPT in their recent projects are German (99%), English (96%), and French (21%).
The most common industries among freelancers who have used ChatGPT in their recent projects are Information Technology (77%), Professional Services (61%), and Retail (41%).
The most common business areas among freelancers who have used ChatGPT in their recent projects are Information Technology (77%), Project Management (72%), and Product Development (66%).
Main locations of FRATCH Experts, who have recently used ChatGPT
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.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Cologne
Frankfurt
Stuttgart
Dusseldorf