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Evaluation Scenario Writer (m/w/d)
We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.
Although every project is unique, you might typically:
- Designing structured test scenarios based on real-world tasks.
- Defining the golden path and acceptable agent behavior.
- Annotating task steps, expected outputs, and edge cases.
- Working with devs to test your scenarios and improve clarity.
- Reviewing agent outputs and adapting tests accordingly
New
AI Agent Evaluation Analyst (m/w/d)
We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.
You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.
What you’ll be doing:
- Reviewing evaluation tasks and scenarios for logic, completeness, and realism.
- Identifying inconsistencies, missing assumptions, or unclear decision points.
- Helping define clear expected behaviors (gold standards) for AI agents.
- Annotating cause-effect relationships, reasoning paths, and plausible alternatives.
- Thinking through complex systems and policies as a human would to ensure agents are tested properly.
- Working closely with QA, writers, or developers to suggest refinements or edge case coverage.
AI Evaluation Consultant (m/w/d)
We are seeking an analytical and technically-minded professional to:
- Evaluate AI outputs and processes
- Ensure quality, accuracy, and reliability
- Identify logical errors, risks, and structural inconsistencies
- Provide actionable insights and recommendations to the team
Ideal candidates:
- 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
Key Responsibilities:
- Lead evaluation of AI outputs and related processes
- Review tasks against expected/ideal scenarios; identify gaps and risks
- Provide structured, actionable recommendations to engineers, domain experts, and managers
- Maintain and improve evaluation guidelines, checklists, SOPs
- Suggest new approaches, tools, and processes to enhance AI evaluation
Freelance Electrical Engineer with Python Experience (m/w/d)
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.
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 Physics, 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.
Freelance Automotive Engineer (with Python) - Quality Assurance / AI Trainer
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.
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 Physics, 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.
Freelance Mechanical Engineer with Python Experience (m/f/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.
- 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.
Freelance Ruby Developer (m/f/d)
For an AI lab we are looking for a Ruby Developer to train an AI model (Large Language Model - LLM).
You help AI make sense of the world. As a 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 (at least a few hours per 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
- Benchmarking and agent-based code execution in sandboxed environments
- Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.)
- Adapting guidelines for new domains and use cases
- Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
Freelance Chemistry Expert for AI Model Training (m/f/d)
An AI lab is looking for a freelance chemistry experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in chemistry contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights.
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:
- Evaluate AI models for chemistry applications.
- Analyze model outputs and provide feedback for improvement.
- Collaborate with the development team to ensure alignment with industry standards.
- Document findings and recommendations for model optimization.
- Conduct tests to validate model performance and reliability.
New
MCP & Tools Python Developer (m/w/d)
We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.
What you’ll be doing:
- Developing and maintaining MCP-compatible evaluation servers
- Implementing logic to check agent actions against scenario definitions
- Creating or extending tools that writers and QAs use to test agents
- Working closely with infrastructure engineers to ensure compatibility
- Occasionally helping with test writing or debug sessions when needed
Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects.
Freelance Physics Expert (with Python) - Quality Assurance / AI Trainer
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.
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 Physics, 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.
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.
- Analyze model outputs and provide feedback for improvement.
- Collaborate with the development team to ensure alignment with industry standards.
- Document findings and recommendations for model optimization.
- Conduct tests to validate model performance and reliability.
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
- Create problems that require Python programming to solve
- 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
- Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
- Document problem statements clearly and provide verified correct answers
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.
- Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision.
- Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.
Freelance Biology Expert for AI Model Training (m/f/d)
An AI lab is looking for a freelance biology experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in biology (all areas) contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights.
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:
- Evaluate AI models for biology applications.
- Analyze model outputs and provide feedback for improvement.
- Collaborate with the development team to ensure alignment with industry standards.
- Document findings and recommendations for model optimization.
- Conduct tests to validate model performance and reliability.
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.
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 Java Developer (all genders)
For an AI lab, we’re looking for a Java Developer to train an AI model (large language model - LLM).
You’ll help AI make sense of the world. As a consultant, you may be invited to join online projects to train the model in your area of expertise.
This flexible role suits both experts seeking part-time work (minimum a few hours per 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
- Benchmarking and agent-based code execution in sandboxed environments
- Working across multiple programming languages
- Adapting guidelines for new domains and use cases
- Following project-specific rubrics and requirements
- Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
Mathematician with Python Experience (m/w/d)
For an AI lab we are looking for mathematicians with python experience to train an AI model (Large Language Model - LLM).
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.
Although every project is unique, you might typically:
- Design original computational mathematics problems that simulate real mathematical 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 in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
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.
- Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization.
- Algebra: Polynomial computations, group theory calculations, matrix decompositions.
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.
- Develop and implement automation scripts, custom tools, environments and test harnesses.
- Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model.
- Advise on cybersecurity best practices and policy implications.
AI Consultants - Data Science (m/w/d)
We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights.
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 Editor (m/f/d)
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- Optionally, you organize and carry out photo shoots and also attend press events and trade fairs
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For replacing the consent layers previously provided by third-party CMPs on the web for our international brands, these layers need to be reimplemented so they can be operated and served in-house. This requires solid knowledge of TypeScript, Vue.js, and traditional web presentation technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests that prove correct functionality.
What exactly is the scope of the engagement: The focus of the service is on developing elements for decision-making on the approach and on implementing measures along the resulting project path. This specifically includes the following service packages:
- Code implementation
- Implementation of executable tests that must pass on delivery, test coverage >= 80%
- Creation of code documentation
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- Creation of a project (including asset management requirements) as a copy of the consent management platform.
- Removal of netID references.
- Creation of brand-specific settings and files for custom purposes/providers.
- Adding new brand-specific CSS themes (variable values, logos, etc.).
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Project implementation:
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Chemist with Python Experience (m/w/d)
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 an AI Tutor in Chemistry, 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.
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Requirement and Content Manager (m/f/d)
A company is looking for support for a project focused on optimizing the buy and leave journey to improve customer acquisition and retention. The goal is to increase efficiency in the value chain, speed up time to market, and reduce the total cost of ownership (TCO). The Adobe Experience Manager (AEM) platform plays a central role, especially for implementing new features like compositions, templates, and micro-frontends.
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- Project-related consulting of development teams and requirement owners during the development phase.
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A company is seeking support for the project to evaluate, implement and further develop quality surveys in digital channels. The goal of the project is to increase customer satisfaction in digital channels, evaluate, implement and enhance survey methods to enable consistent collection of customer satisfaction across all channels. Improvement potentials should be identified and implemented.
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- Developing a future model for quality in digital channels, relevant KPIs and survey methods as well as standard processes.
- Implementing the decided measures including interface management and coordination with technology partners and social partners.
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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 an AI Tutor in Biology, 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.
Adobe Experience Cloud Consultant (m/f/d)
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- As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe's Experience Data Model. This involves creating Entity-Relationship Diagrams (ERDs) and adding context to relevant data.
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- In addition, new business-relevant use cases are developed across different phases of the customer journey to drive business value.
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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 flow in close collaboration with internal and external stakeholders.
- Operational & strategic service management of the ServiceNow platform
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- Process design, governance & continuous optimization
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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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Evaluation Scenario Writer (m/w/d)
New
Industry
Information Technology (IT)
Area
Quality Assurance (QA)
Project info
- Daily rate290 - 640€
- Language
- English(Advanced)
- English
- Remote100%
Description
We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.
Although every project is unique, you might typically:
- Designing structured test scenarios based on real-world tasks.
- Defining the golden path and acceptable agent behavior.
- Annotating task steps, expected outputs, and edge cases.
- Working with devs to test your scenarios and improve clarity.
- Reviewing agent outputs and adapting tests accordingly
Requirements
- Bachelor's and/or Master’s Degreein Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
- Background in QA, software testing, data analysis, or NLP annotation.
- Good understanding of test design principles (e.g., reproducibility, coverage, edge cases).
- Strong written communication skills in English.
- Comfortable with structured formats like JSON/YAML for scenario description.
- Can define expected agent behaviors (gold paths) and scoring logic.
- Basic experience with Python and JS.
- Curious and open to working with AI-generated content, agent logs, and prompt-based behavior.
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
- Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Nice to Have
- Experience in writing manual or automated test cases.
- Familiarity with LLM capabilities and typical failure modes.
- Understanding of scoring metrics (precision, recall, coverage, reward functions).