1701 English-speaking jobs in Berlin

Design Systems Specialist role involves building scenarios for rapid prototyping, design system development, and cross-functional collaboration. Requires 5+ years as a product designer or AI-native engineer with ownership of shipped design systems or AI workflows.

Marketing Analytics Expert needed to design task briefs, review AI agent attempts, and evaluate AI-generated content in Marketing Analytics. Requires hands-on experience in marketing analytics, fluency in GA4, Amplitude, Salesforce, and ad platform reporting.

Data Engineer role requires 2+ years of experience building ETL pipelines, data warehouses, or distributed systems. Use AI coding agents to complete and evaluate complex data engineering tasks, identifying bugs and scalability issues in model outputs.

Search Systems Engineer role involves evaluating AI-generated content accuracy and developing agentic search systems. Key requirements include shipping production search systems, owning relevance/retrieval, and scaling data infrastructure.

Field Marketing Expert needed to design task briefs and evaluate AI agent attempts. Requires hands-on experience in field marketing or events, and comfort with CRM tools like Salesforce.

Build and operate LLM agents in production environments. Responsibilities include ensuring agent reliability, managing long-running processes, and developing internal monoagents. Must have experience building and operating LLM agents.

Financial Manager role involves creating tasks and deliverables in financial management to solve real issues and advance AI research. Requires 4+ years of professional experience and a minimum commitment of 20 hours per week.

Evaluate AI-generated artifacts against domain-specific quality rubrics in clinical, biomedical, or pharma fields. Provide structured written feedback to improve AI work products. Requires 5+ years of relevant professional experience.

Public Sector Analyst requires a Bachelor's degree and 2+ years of relevant experience. Responsibilities include reviewing domain-specific documents, providing structured feedback, and contributing to evaluation projects using strong analytical skills.

Data Science Expert to design grading criteria and score AI/human work samples. Requires 5+ years of industry experience in business, product, or growth data science, with fluency in A/B testing, SQL/Python, and strong written communication.

Cybersecurity Research Expert – Offensive Security role involves evaluating AI analyses of exploits and vulnerability reports. Key requirements include CTF team membership, CVE discovery, or recognized bug bounty research.

ML Engineer role involves using frontier AI coding agents to complete and evaluate complex ML and AI engineering tasks. Responsibilities include reviewing model implementations across training, MLOps, and LLM applications. Requires 2+ years of ML engineering experience and use of AI coding agents.

Statistical Bioinformatics PhD role requires expertise in computational genomics and quantitative biology. Responsibilities include data analysis in R and Python, quality control, and executing multi-step research workflows. A PhD in a related field is required.

ML Engineer role using frontier AI coding agents to complete and evaluate complex ML and AI engineering tasks. Requires 2+ years of experience building production ML systems or LLM applications.

Scientific Analyst role requires a STEM expert (Physics, Chemistry, Math, Biology) to evaluate complex problems and develop structured reasoning for AI model enhancement. Candidates need 1+ year of relevant experience and strong analytical skills.

Construct enterprise data science scenarios for large-scale predictive modeling and analytics governance at Fortune 500 accounts. Build analytics across ML model development, data pipelines, and BI using tools like Snowflake, Python/R, and SageMaker. Requires 5+ years in a data science role at a Fortune 500 organization.

Backend Software Engineer role building MCP servers in Python using FastMCP. Responsibilities include API integration, Docker, Linux environments, and app state management. Requires strong Python skills and experience with backend systems.

Evaluate AI-generated responses for safety, accuracy, and policy compliance. Review content across sensitive domains and refine evaluation rubrics for RLHF and SFT. Requires 5+ years in AI Safety or related fields.

Computational Mechanics Expert role involves designing challenging problems to evaluate AI in scientific research. Requires graduate STEM training, proficiency in scientific software, and strong Python skills.

Content Marketing Expert needed to design task briefs, review AI agent attempts, and evaluate AI-generated content to improve model outputs. Requires hands-on content marketing experience and comfort with CMS tools.