Join Welo Data’s Japanese AI trainer talent network as a flexible remote contributor. Work may include language data annotation, AI response evaluation, and prompt creation. Applicants should have native or near-native Japanese fluency, English proficiency, digital tool familiarity, strong attention to detail, and curiosity. This is a talent-pool registration opportunity rather than a specific immediate opening.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
AIの未来をあなたの手で形作りましょう
Welo Dataでは、高品質な言語データを通じて人間中心のAIを支えています。Welo Dataの一員として、世界中のクライアントと共に、言語を活用してより包括的な技術を実現していきましょう。
私たちは、言語学者、言語愛好家、文化への理解が深い貢献者からなるグローバルなコミュニティを拡大しています。リモートで柔軟に働きながら、アノテーション、評価、プロンプト作成といった意義のある仕事に挑戦してみませんか？
必要な条件:
日本語のネイティブまたはそれに近い流暢さ
日本、シンガポール、韓国、フランス、中国、イギリス、カナダ、台湾、ブラジル、フィリピン、タイ、ペルー、インドネシア、ドイツ、メキシコ、ベトナム、マレーシア、ニュージーランドを拠点としています
英語力がある方
デジタルツールに慣れている方
細部に注意を払える好奇心旺盛な方
なぜ私たちと働くのか？
🚀 無限の可能性 – 好きな時間と場所で働き、成長の機会を得られます
🤖 無限のAI – よりスマートで包括的なAIに貢献できます
🌎 私たちと一緒に – グローバルでサポート体制の整ったコミュニティに参加
📩 今すぐ応募！
簡単な質問に答えて、私たちの人材プールにご登録ください。
📬 ご質問がありますか？件名に「Application: Shape the Future of AI」と記載の上、[email protected]までお問い合わせください。
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.
Top Skills:
Ai/MlSparkAPIsCi/CdDistributed Web SystemsGenerative Ai
Fintech • Mobile • Payments • Software
Lead RevenueCat’s technology partner ecosystem strategy, prioritizing integrations and strategic relationships based on customer demand, commercial value, and effort. Develop partnerships end-to-end, create creative go-to-market motions, support integration prioritization, measure ecosystem impact, and establish scalable models for inbound partner requests and lower-touch integrations. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Customer Success in a high-ownership remote startup environment.
Top Skills:
APIsNotionSdksSlackZoom
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
