Emplois à distance pour les nomades numériques

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Leverage your advanced knowledge of finance to review, create, and refine financial documents in Portuguese. • Produce, edit, and evaluate reports, spreadsheets, and presentations using Microsoft Excel, Word, and PowerPoint. • Provide detailed feedback on document accuracy, clarity, and relevance for AI model training purposes. • Collaborate closely with the customer’s team to ensure data and documents align with Fortune 500 standards and best practices. • Assess and validate financial terminology, calculations, and structures within complex documents. • Utilize strong written and verbal communication skills to document processes and articulate findings clearly. • Contribute real-world finance expertise to shape AI-driven workflows and processes. Required Skills and Qualifications: • Native-level proficiency in Portuguese, with excellent written and verbal communication skills. • Bachelor’s degree or higher in Finance, Accounting, Business, or a related field. • Minimum 3 years of experience in finance, with hands-on expertise working with financial documents. • Demonstrated experience creating and managing financial reports, spreadsheets, and presentations using Microsoft Excel, Word, and PowerPoint. • Strong attention to detail and ability to ensure high quality and accuracy in financial documentation. • Experience working with or for Fortune 500 companies. • Ability to work independently in a remote environment and deliver timely results. Preferred Qualifications: • Based in the US or significant familiarity with US financial standards and reporting practices. • Previous exposure to AI, machine learning, or data annotation projects. • Advanced certifications in finance or accounting are a plus. Originally posted on Himalayas

Role Title: Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. • Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms. • Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources. • Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations. • Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios. • Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability. • Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications • Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. • Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker. • Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE. • Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. • Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis. • Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. • Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus. Originally posted on Himalayas

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves Frontier coding agents are already good at passing tests. We measure whether they pass them the right way .We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: • Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history • Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes • Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs • Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: • Not data labeling; • Not prompt engineering; • Not cybersecurity or red-teaming — there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists; • Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for • 4–5+ years in software development; • Core stack: Python, JavaScript/TypeScript; • Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; • Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); • Familiarity with GitHub PRs and CI workflows as a user; • Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; • English proficiency — B2+ Why this is hard Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Originally posted on Himalayas

Description TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We are looking for a Learning Experience Lead to design end-to-end learning experiences, turning business and learning goals into effective educational solutions. In this role, you'll bring deep instructional design expertise, experiment with new approaches, and share your knowledge to help the methodology team continuously improve - without direct people management. What you will do • Own the end-to-end design of learning experiences — from identifying the opportunity to measuring learning outcomes. • Design complete courses from scratch, especially in emerging AI and other fast-changing domains where proven playbooks don't exist. • Leverage AI as a core part of your instructional design workflow — from research and prototyping to content creation, validation, and iteration. • Choose and justify the most effective learning approaches based on learner needs and business goals, rather than executing predefined briefs. • Define success metrics, instrument them, analyze results, and continuously improve your solutions based on learner behavior and outcomes. • Rapidly prototype, experiment, and iterate on new educational concepts using AI-first workflows and vibe coding. • Mentor other Learning Experience Designers, raising the team's overall quality and capability. • Identify ineffective instructional design patterns, improve them, and establish scalable best practices. • Define, document, and evolve instructional design standards across the team. Requirements • 3+ years of hands-on instructional design experience, including experience in IT education. • Proven track record of independently shipping end-to-end educational products or courses, from concept to launch. • Strong AI literacy: actively uses AI tools to research, design, prototype, produce, and improve learning experiences. • Comfortable working in ambiguous environments and designing learning solutions for rapidly evolving domains, especially AI. • Experience defining learning success metrics and using data to continuously iterate on educational products. • Able to select and defend instructional strategies and learning formats based on learner research and business context. • Demonstrated ownership mindset with a high level of autonomy, accountability, and creative problem-solving. • Experience mentoring peers, sharing expertise, and raising instructional design quality across a team. • Passion for experimentation, rapid iteration, and building better learning experiences through continuous discovery. What we can offer you • High autonomy to explore, test, and improve processes. • Competitive compensation. • Fully remote collaboration. • Work alongside an experienced, global professional team. Originally posted on Himalayas

Role Title: Dutch Audio Recording Experts Role Type: Contractor Location: Remote micro1 is engaging Dutch Audio Recording Experts to contribute their advanced skills to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We seek professionals with a strong background in recording professional-grade audio, preferably with experience delivering content for linguistics, voice technology, or media production purposes. This opportunity is ideal for native Dutch speakers who take pride in the precision, clarity, and authenticity of their delivered recordings and who thrive in remote, results-driven project environments. Scope of Work • Record high-quality Dutch audio samples using professional-grade equipment, adhering to specified guidelines and standards. • Deliver clear, authentic voice recordings across a range of prompts and scenarios to ensure coverage of diverse linguistic data. • Participate in a sample submission process, providing an audio sample that demonstrates your expertise and equipment capabilities. • Collaborate closely via written and verbal communication to clarify requirements and implement feedback on recordings. • Ensure all deliverables meet project specifications for clarity, accuracy, and format. • Document recording processes and provide insight into best practices for capturing natural, high-fidelity Dutch speech. • Engage with the project team to resolve queries and contribute subject-matter knowledge where needed. Preferred Qualifications • Native-level proficiency in Dutch, with an authentic accent and excellent fluency. • At least three years of hands-on experience in professional audio recording, preferably in voice, broadcast, or content production domains. • Demonstrable access to and expertise in using professional audio recording equipment (e.g., studio microphones, soundproofing, audio editing tools). • Strong attention to detail and a commitment to producing accurate, high-quality recordings. • Ability to communicate clearly and efficiently in both written and spoken forms. • Experience working on remote projects or in distributed teams, maintaining accountability and timely delivery of audio assets. • Familiarity with best practices in audio file management, labeling, and secure digital transfer. Please note that you will need your professional audio equipment during the interview. Originally posted on Himalayas