Senior Solutions Engineer, AI Data – Model Evaluation Solutions

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🕒 Agosto 6

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 12%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Argos Multilingual

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

Consulting • Healthcare • Manufacturing

A Argos Multilingual é uma fornecedora global de serviços linguísticos que oferece soluções de tradução, localização e conteúdo multilingue, combinando expertise humana com tecnologia de ponta baseada em IA. A empresa oferece tradução e localização, serviços multimídia, avaliação da qualidade linguística e programas de propriedade, gestão de conteúdo e ativos linguísticos, além de soluções de dados para IA/LLM (coleta de dados, anotação, avaliação, RLHF e tradução automática personalizada) através de sua suíte de ferramentas empresariais MosAIQ. A Argos atende clientes B2B em setores regulados e técnicos—ciências da vida, médico/saúde, tecnologia, finanças, manufatura e varejo—focando em precisão, conformidade e fluxos de trabalho escaláveis habilitados por IA.

Descrição

• Partner with Sales and senior leadership on strategic customer opportunities with AI labs, model development teams, and enterprise AI organizations • Lead discovery conversations with technical, research, product, operations, and executive stakeholders • Translate customer requirements into solution designs, workflows, pilot plans, proposals, and implementation approaches • Design solutions across model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows • Support RFPs, RFIs, proposals, pricing assumptions, and Statements of Work • Create customer-facing solution narratives, workflow diagrams, pilot structures, and technical explanations • Collaborate with Delivery, Quality, Supply Chain, and Technology teams to ensure solutions are feasible, scalable, and commercially sound • Support Sales-to-Delivery handoffs, including requirements, assumptions, risks, and success criteria • Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs • Track industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI

🎯 Requisitos

• 6+ years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or a related role • Working knowledge of Python and SQL • Ability to understand data pipelines, workflow logic, data validation, and customer technical requirements • Hands-on experience with APIs, JSON, CSV, XML, data schemas, file transfer methods, and common integration patterns • Comfort discussing cloud-based workflows, data storage, annotation/evaluation platforms, and operational tooling with technical teams • Familiarity with AI/ML concepts, LLM evaluation, benchmarking, RLHF/post-training workflows, or model development pipelines • Experience supporting complex B2B sales cycles with technical, operational, and executive stakeholders • Ability to translate ambiguous customer needs into requirements, solution designs, proposals, and delivery plans • Experience supporting discovery, RFP/RFI responses, pilots, proposals, and customer presentations • Strong written and verbal communication skills • Strong commercial judgment balancing customer needs, feasibility, quality, timeline, cost, and margin • Comfort working in a fast-moving environment where solutions and processes are still being built • Experience with JavaScript, Java, C#, PHP, or other programming languages is a plus • Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is nice to have • Experience working with AI labs, enterprise AI teams, research organizations, or AI product companies is nice to have • Familiarity with human-in-the-loop workflows, expert review, multilingual data, speech/audio, quality frameworks, or benchmark design is nice to have • Experience designing pilots or proof-of-concept programs for strategic customers is nice to have • Experience working with global delivery, contractor, crowd, or expert workforce models is nice to have