Lead Engineer

Job not on LinkedIn

🔥 51 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $104k - $170.4k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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x.ai

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🔌 API

💰 $10M Series B on 2017-08

Artificial Intelligence • API

x. ai is a company focused on developing advanced artificial intelligence technologies, specifically through their Grok language models. They offer an API that allows developers to build on their Grok foundation models, which are characterized by state-of-the-art reasoning capabilities. The company is running a public beta program to encourage the use of their API and provides free credits for developers during this period. Their recent release, Grok-2, showcases their cutting-edge advancements in AI language models. x. ai also provides career opportunities for roles related to AI engineering and research, particularly in reasoning and data.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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