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Subject Matter Expert, Physics (Contract)

LabelboxOnsite

Shape the Future of AI


At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox


We're the only company offering three integrated solutions for frontier AI development:

  • Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  • Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
  • Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
  • Why Join Us


    • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
    • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
    • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
    • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
    • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

    Role Overview


    Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs.

    Employment Type:

    Project-based, paid hourly

    Your Impact


    • Design project structures and labeling workflows tailored to domain-specific goals
    • Develop clear contributor guidelines and quality assurance frameworks
    • Define ideal contributor profiles and task acceptance criteria
    • Collaborate with internal teams to ensure subject matter accuracy and relevance

    What You Bring


    • Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.)
    • Experience designing or reviewing data workflows, educational content, or technical documentation
    • Strong communication and organizational skills

    Bonus Points


    • Prior experience with data labeling, ML/AI, or evaluation projects

    Alignerr Services at Labelbox


    As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.#LI-Remote

    Life at Labelbox


    • Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
    • Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
    • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
    • Growth: Career advancement opportunities directly tied to your impact
    • Vision: Be part of building the foundation for humanity's most transformative technology

    Our Vision


    We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.Any emails from Labelbox team members will originate from a @labelbox.com email address.

    If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

    Life at Labelbox

    Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications. Visit us, see what organizations are building with us, and explore Labelbox for free at www.labelbox.com.
    Thrive Here & What We Value1. Remote-friendly hybrid model2. Nurturing collaboration and connection within dedicated tech hubs (San Francisco Bay Area, New York City Metro Area, Wrocław)3. Asynchronous communication, autonomy, task ownership4. Collaborative excellence with shared responsibility in decision-making5. Recognizing team talent and achieving excellence6. Striving for a great developer experience through continuous fine-tuning7. Learning by pushing boundaries and engaging in open debate8. Commitment to execution of creative solutions9. Customer success as the North Star10. Embracing remote work with hybrid model focus on tech hubs
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