Remote Jobs

Anyone AI is recruiting skilled Backend Developer to work on a project with a leading AI lab. Qualifications: • Advanced professional written proficiency in English • 3–7 years of professional software engineering experience • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go • Backend or full‑stack development experience in production systems • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) • Proven ability to debug and navigate large, multi‑file codebases • Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs Expected Outcomes: • High-quality, production-realistic coding tasks • Complete and correct reference implementations • Robust test coverage and validation artifacts • Structured, actionable peer review feedback

Anyone AI is recruiting skilled Backend Developers to work as a project consultants. Qualifications: • Advanced professional written proficiency in English • 3–7 years of professional software engineering experience • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go • Backend or full‑stack development experience in production systems • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) • Proven ability to debug and navigate large, multi‑file codebases • Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs Expected Outcomes: • High-quality, production-realistic coding tasks • Complete and correct reference implementations • Robust test coverage and validation artifacts • Structured, actionable peer review feedback

Anyone AI is recruiting skilled Full-Stack Developers to work on a project with a leading AI lab. Qualifications: • Advanced professional written proficiency in English • 3–7 years of professional software engineering experience • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go • Backend or full‑stack development experience in production systems • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) • Proven ability to debug and navigate large, multi‑file codebases • Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs Expected Outcomes: • High-quality, production-realistic coding tasks • Complete and correct reference implementations • Robust test coverage and validation artifacts • Structured, actionable peer review feedback

Anyone AI is recruiting skilled software engineers to work as a project consultants. Qualifications: • Advanced professional written proficiency in English • 3–7 years of professional software engineering experience • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go • Backend or full‑stack development experience in production systems • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) • Proven ability to debug and navigate large, multi‑file codebases • Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs Expected Outcomes: • High-quality, production-realistic coding tasks • Complete and correct reference implementations • Robust test coverage and validation artifacts • Structured, actionable peer review feedback

Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. Qualifications: • Advanced professional written proficiency in English • 3–7 years of professional software engineering experience • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go • Backend or full‑stack development experience in production systems • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) • Proven ability to debug and navigate large, multi‑file codebases • Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs Expected Outcomes: • High-quality, production-realistic coding tasks • Complete and correct reference implementations • Robust test coverage and validation artifacts • Structured, actionable peer review feedback

• Location: Remote • Type: Contract / Part-time • Commitment: 20 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension ABOUT THE ROLE We create high-quality STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains. We are seeking experts in Biology to create challenging, deterministic problems with exactly one verifiable correct answer. Problems should reflect authentic scientific and analytical workflows and be submitted with complete, verified solutions. Depending on specialization, work may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or adjacent quantitative biology fields. WHAT YOU’LL DO • Design advanced biology problems that challenge frontier AI systems • Create deterministic tasks with one correct answer • Submit complete, verified solutions • Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows • Use Python and, when relevant, specialized biology or bioinformatics tools • Ensure high standards of rigor, reproducibility, and technical clarity WHAT WE’RE LOOKING FOR • Master’s or PhD in Biology or a related life sciences field • Research or industry experience involving computational or quantitative biological analysis • Strong Python skills; experience with data analysis or bioinformatics workflows preferred • Strong reasoning ability and comfort with multi-step scientific problem solving • Ability to create original, difficult problems grounded in real biological practice • Clear written English and strong attention to detail NICE TO HAVE • Experience with bioinformatics toolkits, genomics workflows, structural biology tools, or computational biology methods • Experience designing technical assessments or scientific challenge problems • Cross-disciplinary experience spanning biology and computation

• Location: Remote • Type: Contract / Part-time • Commitment: 20 to 40 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO • Design advanced physics problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep physical reasoning and multi-step analysis, not just memorization • Where relevant, use Python or specialized tools to build simulations, models, or computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR • Master’s, or PhD in Physics or a closely related field • Strong research or industry experience involving theoretical, experimental, or computational physics • Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving • Ability to design original, difficult problems that reflect real physics workflows • Excellent attention to detail and technical writing skills in English NICE TO HAVE • Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems) • Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields • Experience evaluating model reasoning, benchmarking, or designing technical assessments

• Location: Remote • Type: Contract / Part-time • Commitment: 20 to 40 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension • Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO • Design advanced physics problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep physical reasoning and multi-step analysis, not just memorization • Where relevant, use Python or specialized tools to build simulations, models, or computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR • Bachelor's, Master’s, or PhD in Physics or a closely related field • Strong research or industry experience involving theoretical, experimental, or computational physics • Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving • Ability to design original, difficult problems that reflect real physics workflows • Excellent attention to detail and technical writing skills in English NICE TO HAVE • Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems) • Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields • Experience evaluating model reasoning, benchmarking, or designing technical assessments

ABOUT VIKTOR Viktor is the AI employee that lives in Slack and Microsoft Teams, connects to thousands of tools, and does the work: reports, dashboards, code, campaigns. Our mission is to give every company an AI employee. The team is small. The scope is not. THE SHORT VERSION You run Viktor's marketing machine. You pick, connect and pay for the tools we buy, and build the ones we can't buy on Viktor itself. Think product manager for the marketing org, who builds the product. Marketing can't keep pace with our growth by adding people. Every team needs tools that let one person do the work of three, and today nobody owns that. You're hands-on, with no team at the start, and report to our CMO. WHAT YOU'LL ACTUALLY DO • Sit with the program leads (partnerships, paid, organic, brand, lifecycle, PMM and more), find the manual work, and automate it. • Own the marketing stack (Viktor, PostHog, Clay, Hex, the ad platforms) and decide what we keep, cut, replace or build. • Build apps, agents and scheduled workflows on Viktor, documented and simple enough for someone else to pick up. • Keep data joined up from marketing activity to signups, with Data Science owning attribution. HOW YOU'LL KNOW IT'S WORKING By day 90: • A partner OS for all our partner programs is in daily use and documented for someone else to run. • Every marketing tool and automation is mapped with owner, cost, usage and overlap. • At least one tool or set of automations is cut, with the saving shown. • Two more tools, built for two other teams, are used weekly. • Next quarter's builds are ranked by impact and agreed. WHO YOU ARE • You've shipped tools or agents with AI (Claude Code, Cursor, Viktor, Lovable or similar) that people used for months, and you fix them when they break. No engineering degree needed. • You've owned a modern marketing stack for 3+ years at a fast-moving company. You know how pipeline gets made and can defend your buy-vs-build calls. • You've built something nobody asked for, as a founder, on a side project or at an early startup. • You ship good enough today, and know when a script beats an agent and when a $50 tool beats a build. • You can turn a messy ask from a marketing leader into something the team uses every week. PROBABLY NOT A FIT IF • You configure tools but don't build, or you manage builders and no longer build yourself. • You're an engineer who doesn't know how marketing makes pipeline, or your stack experience is outbound and enrichment only. • You add tools and model calls without checking usage, cost or value. EVEN BETTER IF • You've built on Viktor, or with agents, scheduled workflows and MCP. • You're hands-on with PostHog, Clay, Hex, a data warehouse, SQL and APIs. • You've worked at a B2B SaaS or AI company, or built systems for partnerships or creator marketing. THE HARD PART Lots of half-built micro-systems to tidy up, leaders who all want something first, and a stack growing faster than anyone can track. You'll have to say no, and cut things people like. WHY THIS ROLE IS DIFFERENT Your tools run Viktor's own marketing and show what the product can do. No tickets, no sprint planning. As the team grows, you own marketing systems, with the chance to build and lead a martech function. HOW WE WORK Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day. We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate. WHY VIKTOR We're one of the fastest-growing companies in the world. The product works. The market is pulling. This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on. That doesn't last forever. Right now, it's still true. COMPENSATION Top-of-the-market salary and the kind of ownership that only exists at this stage. The best work happens when you're in the room. Munich, New York, Dublin, and Warsaw. Remote for some roles.

Fullstack Software Engineer (AI-Native) About Us Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data. We hire people with high agency and high urgency. At Proton, everyone is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. The median Proton customer reports 3x profit return per dollar spent, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on Proton. We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. The Role We're hiring a Senior Fullstack Engineer to ship products end-to-end across our CRM platform for distributors. This is a generalist role: any layer of the stack, any type of work — frontend, backend, data, integrations — wherever the user impact is. You'll work closely with PMs, designers, and other engineers to scope, build, and deploy features that distributors feel directly. Periodically, you'll work directly with customers to support onboarding, troubleshoot integrations, and help distributors get the most out of the platform. You'll be the person who can sit with a customer's IT team, understand how their ERP is configured, and translate that into something Proton can work with. Expect occasional travel to customer sites a few times a year. Two things make this role different from a standard fullstack opening: • You're an AI-native operator, not a code writer. Every engineer at Proton uses Claude Code (and other agentic dev tools) as a first-class collaborator. We expect features to be designed, built, reviewed, tested, and shipped with heavy AI leverage. You should already work this way — guiding agents, structuring context, validating output, and making judgment calls AI can't. • You're a generalist by default. We don't silo engineers into "frontend only" or "backend only." When a feature needs a Vue component, a Python handler, a Postgres migration, an Airflow DAG, and an ERP integration, you're expected to handle all of it — with AI doing the typing and you doing the thinking. Location : Remote Compensation : $80k – $100k base salary, depending on experience. Includes equity and full benefits. What You'll Do • Own end-to-end delivery of features — from refining tickets to deployment, monitoring, and iteration. • Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run multiple agents in parallel where it makes sense, and ship reviewed, production-quality output. • Move fluidly across the stack — TypeScript/Vue on the frontend, Python on the backend, SQL and data modeling, infra touchpoints. Pick up whatever the work needs. • Collaborate in a squad model with PMs, designers, and engineers; participate in 2-week sprints, standups, refinements, retros, and code reviews. • Design schemas, queries, and APIs that hold up at scale — performance, reliability, and correctness are on you, not on the agent. • Contribute to engineering practices: better patterns, better tooling, better ways to use AI across the team. • Spend time with customers onsite a few times a year — distributors operate in warehouses and on sales floors, and the best product calls come from being there in person. Requirements • 5+ years as a software engineer with real, demonstrable fullstack delivery — production systems, real users, real ownership. Resume-level hands-on experience, not LLM-generated portfolios. • Strong fundamentals. You understand what the code is doing and why. You can read a stack trace, reason about a query plan, debug a race condition, and tell when an agent is wrong. We are explicitly not hiring "vibe coders" who depend on AI to compensate for missing fundamentals — AI amplifies seniority, it doesn't replace it. • Daily, hands-on use of agentic dev tools. Claude Code, Cursor agent mode, Codex, or equivalent — used to ship real features, not just autocomplete. You can talk concretely about how you structure prompts, manage context, parallelize agents, and verify their output. • Generalist instinct. You're comfortable jumping between Vue, Python, SQL, infra, and integrations. You don't wait for someone else to take the layer you're "not assigned to." • Database and systems chops. You …

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 are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. 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. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities • Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. • Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. • Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. • Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. • Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor’s intelligence. • Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. • Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Technical • 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. • Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short. • Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. • Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems. Product & Pedagogy • Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. • Ability to reason holistically across AI behavior, content structure, platform features, and user experience. • Familiarity with learning science or a desire to develop expertise. Character & Collaboration • Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. • Preference for elegance and simplicity in system design. • Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. 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!

Quality Evaluator – English Help shape the future of AI by evaluating and comparing responses from advanced AI models. Location: Remote Type: Independent contractor / Part-time Commitment: up to 3 months Compensation: $7-$12/hour About the role At Anyone AI, we create high-quality training and evaluation data for frontier AI models. We’re looking for English-fluent experts with strong writing skills, critical thinking, and extensive hands-on experience using large language models (LLMs). In thi…