Lead Engineer

Vaga não está no LinkedIn

🕒 Setembro 25

🏄 California – Remoto

🏄 California – Remote

💵 $104.000 - $170.400 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 20%

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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x.ai

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🤖 Inteligência Artificial

🔌 API

💰 $10.000.000 Series B em 2017-08

Artificial Intelligence • API

A x. ai é uma empresa focada no desenvolvimento de tecnologias avançadas de inteligência artificial, especificamente por meio de seus modelos de linguagem Grok. Ela oferece uma API que permite a desenvolvedores construir sobre seus modelos base (foundation models) Grok, caracterizados por capacidades de raciocínio de última geração. A companhia está conduzindo um programa beta público para incentivar o uso de sua API e oferece créditos gratuitos para desenvolvedores durante esse período. Seu lançamento mais recente, o Grok-2, evidencia seus avanços de ponta em modelos de linguagem de IA. A x. ai também oferece oportunidades de carreira em funções relacionadas à engenharia e pesquisa em IA, especialmente em raciocínio e dados.

Descrição

• Lead a team of AI Tutors responsible for delivering training data and evaluations for SpaceXAI’s models • Own end-to-end quality and delivery for assigned Human Data projects • Personally review work for accuracy, consistency, guideline adherence, and high-quality data production • Lead, coach, and performance-manage AI Tutors, including performance reviews, records, action plans, shadow sessions, and continuous improvement • Oversee and participate in labeling and reviewing tasks • Manage taxonomies and quality assurance processes • Identify and resolve operational bottlenecks and implement process improvements • Track performance through KPI dashboards, including quality metrics, throughput, and send-back rates • Build, update, and deliver training materials, practice tasks, and certification benchmarks • Manage certifications and workforce adjustments • Collaborate with Human Data Managers, Team Leads, and Engineering to translate model needs into labeling strategies and requirements • Coach and develop talent while supporting accountability and disciplinary actions as needed • Document outcomes and report project status, risks, and results • Represent tutors and foster collaboration across the Human Data organization

🎯 Requisitos

• Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field • 2+ years of professional experience in engineering practice, such as design, analysis, testing, R&D, or systems integration, OR a Master's degree or higher in an engineering or engineering-related field • Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance • Candidates must be based in one of the listed countries where SpaceXAI has a physical office; remote work is also possible • Preferred: advanced degree or professional licensure (PE or FE/EIT) • Preferred: experience with data quality metrics, annotation processes, and guideline-driven workflows • Preferred: breadth across multiple engineering disciplines • Preferred: experience with performance management, coaching, training program development, and certification frameworks • Preferred: 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains • Preferred: professional experience building scalable, high-performance technology applications • Preferred: previous experience leading small teams in data labeling, annotation, or related operations • Preferred: ability to manage multiple concurrent projects and prioritize effectively • Preferred: strong track record of reviewing domain work, ensuring data quality, and improving operational processes • Preferred: proficiency in data analysis and associated tools; SQL is a plus • Preferred: experience managing mixed employment types or distributed teams • Preferred: excellent verbal and written communication skills • Preferred: strong organizational skills, attention to detail, proactive problem-solving, and continuous improvement mindset • Preferred: strategic thinking combined with hands-on execution • Preferred: specialty or strong domain expertise in Finance, STEM, Coding/Software Engineering, or other technical fields • Preferred: passion for building high-performing teams and scaling Human Data operations

🏖️ Benefícios

• Equity • Comprehensive medical, vision, and dental coverage • Access to a 401(k) retirement plan • Short- and long-term disability insurance • Life insurance • Various other discounts and perks • Health insurance for eligible U.S.-based positions • Paid sick leave for eligible U.S.-based positions