About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Tutor that feels less like software and more like a world-class personal coach—guiding millions of learners in real time, adapting to their goals, and unlocking faster, deeper understanding at scale.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution. You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning. Responsibilities - Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors. - Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance. - Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability. - Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design. - Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact. - Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale. - Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews. Qualifications Technical - Proven experience building and shipping LLM-powered products in production environments. - Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions. - Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements. - Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments. Product & Pedagogy - Strong product instincts—able to connect model behavior to user experience and outcomes. - Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that. - Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions. Character & Collaboration - High ownership and bias for action—you move things forward without waiting for perfect clarity. - Comfortable operating in fast-moving environments with evolving constraints. - Clear communicator who contributes to a strong, low-ego engineering culture. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: - Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. - Competitive compensation: We offer a competitive salary with attractive benefits. - Flexibility: Benefit from flexible working hours because the future is flexible! - Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. - Global retreats: Participate in international company retreats, fostering a global team spirit. - Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. - Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Role Description A forward-thinking, innovation-driven organization is seeking a Prompt Engineer to design, optimize, and operationalize LLM-powered workflows across real-world business applications. This is not a theoretical role—this is about turning AI into measurable business outcomes. If you know how to shape model behavior, engineer prompts at scale, and integrate AI into production workflows, this role will put you at the center of one of the fastest-growing domains in tech. What You'll Do: - Design and optimize high-performance prompts for LLMs (e.g., GPT-based systems) - Build and iterate AI-driven workflows and automations across business functions - Partner with engineering, product, and business teams to translate use cases into AI solutions - Evaluate and improve model outputs for accuracy, reliability, and consistency - Develop prompt libraries, testing frameworks, and reusable patterns - Implement guardrails, safety protocols, and compliance-aware prompting strategies - Contribute to AI system architecture, including integrations with APIs and enterprise tools - Continuously experiment with prompt chaining, agent workflows, and reasoning optimization Qualifications - Experience working with large language models (LLMs) in real-world applications - Strong ability to structure, test, and refine prompts for business outcomes - Background in one or more of the following: AI/ML, NLP, or data science - Software engineering or automation - Product, operations, or systems design with AI exposure - Familiarity with tools such as OpenAI / Anthropic / open-source LLMs - Python, APIs, or workflow automation tools - Ability to think in systems, not just prompts - Strong analytical mindset with a focus on measurable impact Requirements - Highly Preferred: - Experience building AI agents or multi-step prompt workflows - Exposure to LLMOps / evaluation frameworks / prompt testing methodologies - Experience integrating AI into enterprise systems (HR, finance, operations, etc.) - Understanding of AI safety, bias mitigation, and governance frameworks Benefits - Work at the cutting edge of applied AI—not theory, real implementation - Directly influence how AI is used across critical business functions - High visibility and impact in a rapidly evolving space - Opportunity to shape AI strategy and architecture, not just execution Company Description - We connect top talent to career-defining AI opportunities: - Precision Matching: We align you to roles where you can create real impact - Speed to Interview: Direct access to hiring teams - Career Advocacy: We position you strategically throughout the process - Confidentiality: Your search is handled with discretion If you're building with AI—not just talking about it—we want to hear from you. Apply now or reach out for a confidential conversation.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Multilingual Prompt Designer Type: Contract Compensation: $25–$30/hour Location: Remote Duration: 2+ months Commitment: 20+ hours/week Role Responsibilities - Author French/English prompt–golden answer pairs to train and evaluate advanced language models. - Create detailed prompts in French and/or English with constraints and instructions for real-world relevance. - Define and document evaluation standards for French consumer contexts, developing rubrics for linguistic nuance. - Run prompts through models, assessing outputs for accuracy, fluency, and cultural fit in French. - Collaborate in QA review processes to ensure consistency and reliability across French-language benchmarks. - Work independently and asynchronously to meet deadlines while contributing to a high-impact AI research project. Qualifications - Must-Have: Native-level fluency in French (written) with strong reading/writing ability in English. - BS or BA from a reputable institution (completed or in progress). - Strong writing and critical thinking skills. - Ability to work independently and meet deadlines. - Familiarity with ChatGPT or similar tools for personal decision-making. - Based in France or able to produce France-specific, culturally accurate French. - Preferred: Experience in teaching, research, editing, or academic writing. - Experience creating evaluation criteria, rubrics, or grading guidelines. - Familiarity with LLMs, prompting, or model evaluation. Application Process - Complete an AI-led interview (about 15 minutes). - Complete a 45-minute written assessment focused on writing and rubric creation. - If selected, you will be invited to work on the project. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases. - Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks. - Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing. - Document reproducibly by producing reports, datasets, and attack cases that customers can act on. - Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications - Must-Have: - Native-level fluency in English and Spanish. - Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing. - Structured approach using frameworks or benchmarks. - Strong communication skills to explain risks clearly to technical and non-technical stakeholders. - Adaptability to thrive on moving across projects and customers. - Preferred: - Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction. - Background in Cybersecurity: penetration testing, exploit development, reverse engineering. - Expertise in socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing. - Creative probing skills: psychology, acting, writing for unconventional adversarial thinking. Requirements - Hourly contractor, Paid weekly. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.