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 • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.
Top Skills:
Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm
Cloud • Software
Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.
Top Skills:
Agentic AiAi Coding ToolsAPIsCi/CdContainersDistributed SystemsDocument DatabasesEmbeddingsGitGoJavaKotlinKubernetesLarge Language ModelsPythonRelational DatabasesRetrieval-Augmented GenerationTypescriptVector Databases
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads strategic feasibility analytics for global clinical trials, developing evidence-based country, site, enrollment, and protocol optimization strategies. Partners with cross-functional teams to assess recruitment assumptions, competitive intelligence, real-world data, site performance, and clinical trial technologies. Oversees feasibility outreach, site selection, scenario planning, portfolio intelligence, and KPI delivery while improving study startup and recruitment processes. Provides senior-level recommendations and influences stakeholders across Pfizer’s clinical development organization.
Top Skills:
Decentralized Clinical Trial (Dct) TechnologiesProtocol SimulationsReal-World Data AnalyticsSite Predictability Engine
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
