Project details
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PL/SQL Development
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An established company is looking for an experienced ERP Transformation Manager to take full responsibility for planning and steering a comprehensive ERP transformation program. The project's goal is harmonizing processes, implementing a new ERP system, and meeting IFRS requirements.
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You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
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This is a flexible, impact-driven role where you’ll have space to grow, contribute ideas, and help shape how evaluation and quality are scaled across the project.
This role is especially well-suited for:
Analysts, researchers, or consultants with strong structuring and reasoning skills Junior product managers or strategists curious about AI and evaluation work Smart problem-solvers (students or early-career professionals) who enjoy digging into logic, systems, and edge cases
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What you’ll be doing
- Fully own the QA pipeline for agent evaluation tasks;
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- Spot logical inconsistencies, vague requirements, hidden risks, and unrealistic assumptions;
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- Maintain and improve QA checklists, SOPs, and review guidelines;
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- Take initiative to suggest new approaches, tools, and processes that help scale validation and analysis.
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This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities.
- Code generation and code review
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- Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
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What You'll Do
- Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
- Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
- Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
- Incorporate big data processing scenarios requiring scalable computational approaches
- Verify solutions using Python with standard data science libraries and statistical methods
- Document problem statements clearly with realistic business contexts and provide verified correct answers
Freelance Java Developer (m/w/d)
For an AI lab we are looking for Java Developer to train an AI model (Large Language Model - LLM).
You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities.
- Code generation and code review
- Prompt evaluation and complex data annotation
- Training and evaluation of large language models
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- Working across multiple programming languages
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- Following project-specific rubrics and requirements
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IT Project Manager ServiceNow (Senior)
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- The goal of the project is to lead and successfully implement an enterprise ServiceNow project focusing on ITSM and Customer Service Management (CSM).
- The role includes planning, controlling, and ensuring a stable project process in close collaboration with internal and external stakeholders.
- Operational & strategic service management of the ServiceNow platform
- Process responsibility for ITSM and CSM (B2B & B2C)
- Process design, governance & continuous optimization
- Management of external providers and service partners
- Monitoring, KPI analysis & deriving improvements
- Ensuring stable platform operation
Product Manager POS / Cash Register Systems (m/f/d)
A company is looking for an experienced product manager, ideally with a background in hospitality. The goal of this project is to develop innovative product solutions and optimize existing processes to improve customer experience and strengthen the company's market position.
The product manager will play a key role in developing and implementing product strategies, working closely with internal teams and external stakeholders. Travel expenses are not covered, so the candidate should preferably be based in Berlin or be willing to cover costs themselves.
- Lead and oversee the entire project lifecycle in the Cloud POS area
- Develop and implement project plans, schedules, and budgets
- Coordinate between different teams and stakeholders
- Ensure project goals and requirements are met
- Identify and manage risks and issues
- Report to management and other relevant parties
Physicist with Python Experience (m/w/d)
For an AI lab we are looking for phycists with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a phycist, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Design original computational physic problems that simulate real research workflows.
- Create problems requiring Python programming to solve (using numpy, scipy, sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains.
- Base problems on real research challenges or practical applications from physical practice.
- Verify solutions using Python with standard libraries.
- Document problem statements clearly and provide verified correct answers.
Freelance Civil Engineer with Python Experience (m/f/d)
A company is looking for a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights.
Key responsibilities:
- Evaluate AI models for civil engineering applications.
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AI Consultant for Vibe Coding (m/w/d)
An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows.
This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.
Key responsibilities:
- Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources.
- Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files.
- Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required.
- Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality.
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Freelance Cybersecurity Consultant for AI Red Teaming
For an AI lab we are looking for cybersecurity consultants to train an AI model (Large Language Model - LLM).
You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities
- Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks.
- Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents.
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AI Consultant - Machine Learning (m/w/d)
For an AI lab we are looking for Machine learning experts to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Design original computational STEM problems that simulate real scientific workflows
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- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
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- Document problem statements clearly and provide verified correct answers
Freelance Statistics Expert with Python Experience (m/f/d)
For an AI lab we are looking for Statistics Expert with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Generate prompts that challenge AI.
- Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.
- Correct the model’s responses based on your domain-specific knowledge.
Cyber Risk Consulting (Senior Level)
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- Translation of security incidents and threats into concrete, business-relevant risks with suitable countermeasures.
- Continuous improvement of processes for managing the cyber risk lifecycle and increasing the maturity of the Cyber Risk Desk.
- Preparation of project reports on status, impact, and required actions related to identified risks.
- Creation of risk analyses and management processes that comply with applicable regulatory standards (SOX, PCI, data protection).
- Conducting an initial risk assessment (likelihood, impact, risk level) including a precise description of risks, impacts, and probability of occurrence.
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Freelance E-Engineer (m/f/d)
A company is looking for an experienced E engineer who specializes in the design and construction of electric motors. The project aims to qualify an insulation system, analyze operating points, and optimize electric motors. Additionally, expertise in frequency converters (FC) is needed to run tests and support the tuning of the motor control.
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AI Evaluation Consultant (m/w/d)
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- Ensure quality, accuracy, and reliability
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- Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills
- Professionals curious about AI, process improvement, and quality evaluation
- Problem-solvers who enjoy analyzing complex systems, logic, and scenarios
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- Lead evaluation of AI outputs and related processes
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For our client company in the financial services sector, we are looking for a Partner Sales Manager (m/f/d). The client has commissioned us to steer a cross-departmental sales project to acquire new software distribution partners. The focus is on developing a partner sales strategy and integrating it into existing financial services solutions.
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Freelance Mechanical Engineer with Python Experience (m/w/d)
For an AI lab we are looking for Mechanical Engineer with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Mechanical Engineering, while also developing references and examples of tasks.
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Project Manager Brand Guardianship (m/f/d)
The service is requested as part of the Brand Image Pool photoshoot project. The project includes:
- Controlling sub-tasks throughout the image pool photoshoot project from Jan to June
- Taking on Brand Guardianship tasks during the pool shoot project
- Detailed service description without reference to persons:
- Independent definition, control and execution of the project, from project management to creating roadmaps and project presentations
- Developing ideas and concepts for measures
- Active management of project risks
- Active management of issues in the project, including technical advice on escalations
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Senior Web Developer (m/f/d)
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Frontend developer to HR platform with Angular experience
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Consultant / IT Architect for IT Solution Design in RDBMS (m/f/d)
Industry
Information Technology (IT)
Area
Information Technology (IT)
Project info
- Period07.07.2025 - 07.10.2025
- Capacityfrom 90%
- Daily rate780 - 1020€
- LocationMunich, Germany
- Languages
- German(Native),
- English(Advanced)
- German
- Remotefrom 95%
Description
For a client in the IT sector, we are looking for an experienced IT architect focused on relational database systems (RDBMS) to take responsibility for the solution design of a new data-intensive application.
Typical tasks:
Analyzing existing system landscapes and gathering business and technical requirements for data storage.
Designing and conceptualizing a scalable, highly available, and secure RDBMS architecture (e.g., based on PostgreSQL, Oracle, or MS SQL Server).
Creating and optimizing data models (physical, logical) and defining data flows.
Advising the development team on implementing database structures, stored procedures, and queries.
Planning and supporting data migration strategies from legacy systems.
Defining standards for backup, recovery, and disaster-recovery scenarios.
Relevant technologies, tools, or methods:
RDBMS: PostgreSQL, Oracle, MS SQL Server, MySQL/MariaDB
Cloud platforms: AWS RDS, Azure SQL, Google Cloud SQL
Modeling tools: ER/Studio, Sparx Enterprise Architect, draw.io
DevOps & IaC: Terraform, Ansible, Jenkins for automating DB deployments
Monitoring: Prometheus, Grafana, specialized DB monitoring tools (e.g., pgAdmin, Oracle Enterprise Manager)
Typical KPIs or success metrics:
System availability and uptime (>99.95%)
Response times for critical database queries (<200ms)
Meeting RTO/RPO targets (Recovery Time/Point Objective)
Scalability: performance under load simulation (e.g., 2x user growth)
Reduction of database operational costs through optimized design.
Key challenges, risks, or specifics:
Ensuring data consistency and integrity in distributed systems.
Managing schema changes in production (zero-downtime deployment).
Balancing normalization and performance optimization (denormalization).
Securing sensitive data according to GDPR and other compliance requirements.
Concrete deliverables:
Final solution architecture document for the database solution.
Implemented and approved data model.
Proof-of-concept for critical non-functional requirements (e.g., high availability).
Migration plan and test protocols.
Lessons learned/best practices:
Early involvement of development and operations teams is essential.
Automated tests for database schema changes prevent regressions.
Consider security-by-design from the start, not as an add-on.
Requirements
- Proven, multi-year experience as an IT architect with a clear focus on RDBMS solution design.
- Deep knowledge of at least two major systems like PostgreSQL, Oracle, or MS SQL Server.
- Experience designing cloud-native database solutions (AWS, Azure, GCP).
- Solid skills in data modeling, performance tuning, and SQL optimization.
- Must-haves: strong analytical and conceptual skills, problem-solving ability, and ability to moderate technical discussions.
- Nice-to-haves: experience with infrastructure-as-code (Terraform), knowledge of NoSQL databases, certifications (e.g., Oracle Certified Professional, AWS Certified Database – Specialty).
- Personality: independent and structured working style, high quality awareness, strong communicator at management and developer levels.