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New
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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.
- Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.
- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
- Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.
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Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
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- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
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Support in:
- Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations.
- Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization.
- Graph Theory: Network analysis, path finding, graph coloring, spanning trees.
- Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations.
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AI Agent Evaluation Analyst (m/f/d)
We are looking for an Freelance Agent Evaluation Analyst to take ownership of quality, structure, and insight across the project. This role goes far beyond task-checking - it’s about critical thinking, systems-level analysis, and ensuring clarity, reliability, and consistency at scale. You’ll work as both a hands-on evaluator and an analyst, collaborating with domain experts, delivery managers, and engineers. Beyond reviewing outputs, you’ll be expected to understand the “why” behind the work, identify logical gaps or inconsistencies, and propose meaningful improvements.
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
You do not need a coding background. What matters most is curiosity, intellectual rigor, and the ability to evaluate complex setups with precision.
What you’ll be doing
- Fully own the QA pipeline for agent evaluation tasks;
- Review and validate tasks and golden paths created by scenario writers and experts;
- Spot logical inconsistencies, vague requirements, hidden risks, and unrealistic assumptions;
- Provide structured feedback and ensure quality alignment across contributors; Train, onboard, and mentor new QA team members;
- Collaborate with domain experts, delivery managers, and engineers to improve test clarity and coverage;
- Maintain and improve QA checklists, SOPs, and review guidelines;
- Contribute to test planning, prioritization, and quality benchmarks;
- Take initiative to suggest new approaches, tools, and processes that help scale validation and analysis.
Frontend developer to HR platform with Angular experience
Reach out to us if you are interested in working with us on the project.
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Expert (m/f/d) for High-Tech Innovation Analysis / Market Study in the ICT & Hardware Sector
Industries
Information Technology (IT)
Manufacturing
Telecommunication
Areas
Business Intelligence
Research and Development (R&D)
Project info
- Period01.05.2025 - 31.12.2025
- Capacityfrom 95%
- Daily rate800 - 950€
- LocationVienna, Austria
- Languages
- German(Advanced),
- English(Advanced)
- German
- Remote65 - 85%
Description
Our client is a telecommunications company. We are looking for a Senior Consultant / Expert to create detailed insight reports on the topics of artificial intelligence (AI), advanced materials, power electronics, microelectronics and advanced manufacturing technologies.
Tasks:
- Create detailed insight reports on the topics of artificial intelligence (AI), advanced materials, power electronics, microelectronics and advanced manufacturing technologies
- Analyze and assess research institutes, universities, private companies, hidden champions and startups in Austria regarding their innovation potential and technological capabilities
- Identify and evaluate potential partners for future R&D collaborations
- Prepare detailed reports on research focuses, technological breakthroughs, patents, scientific publications and commercial applications
- Assess technology readiness levels (TRL), market positioning and financial metrics of technology companies
- Present findings and recommendations to the client
Requirements
Solid knowledge in at least one of the following areas: A) Artificial intelligence (AI) and machine learning B) Advanced materials (e.g. metals, ceramics, glass, magnetic materials) C) Power electronics and energy technology D) Microelectronics and semiconductor technology E) Advanced manufacturing technologies (e.g. additive manufacturing, robotics, automation)
- Experience analyzing research and technology projects and assessing innovation potential
- Knowledge of patent analysis and evaluation of scientific publications
- Understanding of technology readiness models (TRL) and market entry strategies
Work experience:
- Several years of professional experience in technology consulting, innovation management or research and development
- Experience collaborating with research institutes, universities and technology companies
- Proven expertise in producing technical reports and analyses
- Experience identifying and evaluating potential cooperation partners
Methodical skills:
- Ability to systematically research, analyze and prepare complex technical information
- Experience working with databases, patent databases and scientific literature sources
- Knowledge of analysis methods such as SWOT, PESTEL or benchmarking
- Ability to model and evaluate technological and economic scenarios
Additional knowledge:
- Experience with technology and innovation networks in Austria
- Knowledge of the Austrian research landscape and its key players
- Experience conducting interviews or workshops with technical experts
- Familiarity with the requirements and standards of the high-tech industry, especially in hardware development
English
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